This document discusses disruptive technologies, specifically how Moore's Law has impacted the technology industry and networking. It provides three key points:
1. Moore's Law, which predicted the doubling of transistors on integrated circuits every two years, has been the guiding principle for new product development. However, for networking, transistor count has doubled but speed has increased slowly.
2. Networking performance has not kept up with Moore's Law like CPU performance has. Network ASICs have increased 10x over 12 years while CPUs increased 64x.
3. Merchant silicon using full custom chip designs has allowed networking to scale at Moore's Law growth rates, providing higher port density, lower price per port, and lower power consumption
HKG18-500K1 - Keynote: Dileep Bhandarkar - Emerging Computing Trends in the D...Linaro
Session ID: HKG18-500K1
Session Name: HKG18-500K1 - Keynote: Dileep Bhandarkar - Emerging Computing Trends in the Datacenter
Speaker: Not Available
Track: Keynote
★ Session Summary ★
For decades we have been able to take advantage of Moore’s Law to improve single thread performance, reduce power and cost with each generation of semiconductor technology. While technology has advanced after the end of Dennard scaling more than 10 years ago, the advances have slowed down. Server performance increases have relied on increasing core counts and power budgets.
At the same time, workloads have changed in the era of cloud computing. Scale out is becoming more important than scale up. Domain specific architectures have started to emerge to improve the energy efficiency of emerging workloads like deep learning
This talk will provide a historical perspective and discuss emerging trends driving the development of modern servers processors.
---------------------------------------------------
★ Resources ★
Event Page: http://connect.linaro.org/resource/hkg18/hkg18-500k1/
Presentation: http://connect.linaro.org.s3.amazonaws.com/hkg18/presentations/hkg18-500k1.pdf
Video: http://connect.linaro.org.s3.amazonaws.com/hkg18/videos/hkg18-500k1.mp4
---------------------------------------------------
★ Event Details ★
Linaro Connect Hong Kong 2018 (HKG18)
19-23 March 2018
Regal Airport Hotel Hong Kong
---------------------------------------------------
Keyword: Keynote
'http://www.linaro.org'
'http://connect.linaro.org'
---------------------------------------------------
Follow us on Social Media
https://www.facebook.com/LinaroOrg
https://www.youtube.com/user/linaroorg?sub_confirmation=1
https://www.linkedin.com/company/1026961
Heterogeneous Computing : The Future of SystemsAnand Haridass
Charts from NITK-IBM Computer Systems Research Group (NCSRG)
- Dennard Scaling,Moore's Law, OpenPOWER, Storage Class Memory, FPGA, GPU, CAPI, OpenCAPI, nVidia nvlink, Google Microsoft Heterogeneous system usage
The document summarizes emerging computing trends in data centers, including:
1) The shift to multi-core CPU designs after Dennard scaling broke down, driven by the need for energy efficient designs for cloud computing.
2) The rise of heterogeneous computing using application-specific accelerators like GPUs and FPGAs to improve efficiency for targeted workloads like machine learning.
3) How technologies developed for mobile and edge computing like ARM cores can improve data center server efficiency through typical-use optimization rather than just peak performance.
Multiscale Dataflow Computing: Competitive Advantage at the Exascale Frontierinside-BigData.com
In this deck from the Stanford Colloquium on Computer Systems Seminar, Brian Boucher from Maxeler Technologies presents: Multiscale Dataflow Computing: Competitive Advantage at the Exascale Frontier.
"Maxeler Multiscale Dataflow computing is at the leading edge of energy-efficient high performance computing, providing competitive advantage in industries from energy to finance to defense. Maxeler builds the computer around the problem to maximize performance density, eliminating the elaborate caching and decoding machinery occupying most silicon in a standard processor. This talk will explain the motivation behind dataflow computing to escape the end of frequency scaling in the push to exascale machines, introduce the Maxeler dataflow ecosystem including MaxJ code and DFE hardware, and demonstrate the application of dataflow principles to a specific HPC software package (Quantum ESPRESSO)."
Watch the video: https://wp.me/p3RLHQ-hq1
Learn more: http://maxeler.com/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
This document discusses disruptive technologies, specifically how Moore's Law has impacted the technology industry and networking. It provides three key points:
1. Moore's Law, which predicted the doubling of transistors on integrated circuits every two years, has been the guiding principle for new product development. However, for networking, transistor count has doubled but speed has increased slowly.
2. Networking performance has not kept up with Moore's Law like CPU performance has. Network ASICs have increased 10x over 12 years while CPUs increased 64x.
3. Merchant silicon using full custom chip designs has allowed networking to scale at Moore's Law growth rates, providing higher port density, lower price per port, and lower power consumption
HKG18-500K1 - Keynote: Dileep Bhandarkar - Emerging Computing Trends in the D...Linaro
Session ID: HKG18-500K1
Session Name: HKG18-500K1 - Keynote: Dileep Bhandarkar - Emerging Computing Trends in the Datacenter
Speaker: Not Available
Track: Keynote
★ Session Summary ★
For decades we have been able to take advantage of Moore’s Law to improve single thread performance, reduce power and cost with each generation of semiconductor technology. While technology has advanced after the end of Dennard scaling more than 10 years ago, the advances have slowed down. Server performance increases have relied on increasing core counts and power budgets.
At the same time, workloads have changed in the era of cloud computing. Scale out is becoming more important than scale up. Domain specific architectures have started to emerge to improve the energy efficiency of emerging workloads like deep learning
This talk will provide a historical perspective and discuss emerging trends driving the development of modern servers processors.
---------------------------------------------------
★ Resources ★
Event Page: http://connect.linaro.org/resource/hkg18/hkg18-500k1/
Presentation: http://connect.linaro.org.s3.amazonaws.com/hkg18/presentations/hkg18-500k1.pdf
Video: http://connect.linaro.org.s3.amazonaws.com/hkg18/videos/hkg18-500k1.mp4
---------------------------------------------------
★ Event Details ★
Linaro Connect Hong Kong 2018 (HKG18)
19-23 March 2018
Regal Airport Hotel Hong Kong
---------------------------------------------------
Keyword: Keynote
'http://www.linaro.org'
'http://connect.linaro.org'
---------------------------------------------------
Follow us on Social Media
https://www.facebook.com/LinaroOrg
https://www.youtube.com/user/linaroorg?sub_confirmation=1
https://www.linkedin.com/company/1026961
Heterogeneous Computing : The Future of SystemsAnand Haridass
Charts from NITK-IBM Computer Systems Research Group (NCSRG)
- Dennard Scaling,Moore's Law, OpenPOWER, Storage Class Memory, FPGA, GPU, CAPI, OpenCAPI, nVidia nvlink, Google Microsoft Heterogeneous system usage
The document summarizes emerging computing trends in data centers, including:
1) The shift to multi-core CPU designs after Dennard scaling broke down, driven by the need for energy efficient designs for cloud computing.
2) The rise of heterogeneous computing using application-specific accelerators like GPUs and FPGAs to improve efficiency for targeted workloads like machine learning.
3) How technologies developed for mobile and edge computing like ARM cores can improve data center server efficiency through typical-use optimization rather than just peak performance.
Multiscale Dataflow Computing: Competitive Advantage at the Exascale Frontierinside-BigData.com
In this deck from the Stanford Colloquium on Computer Systems Seminar, Brian Boucher from Maxeler Technologies presents: Multiscale Dataflow Computing: Competitive Advantage at the Exascale Frontier.
"Maxeler Multiscale Dataflow computing is at the leading edge of energy-efficient high performance computing, providing competitive advantage in industries from energy to finance to defense. Maxeler builds the computer around the problem to maximize performance density, eliminating the elaborate caching and decoding machinery occupying most silicon in a standard processor. This talk will explain the motivation behind dataflow computing to escape the end of frequency scaling in the push to exascale machines, introduce the Maxeler dataflow ecosystem including MaxJ code and DFE hardware, and demonstrate the application of dataflow principles to a specific HPC software package (Quantum ESPRESSO)."
Watch the video: https://wp.me/p3RLHQ-hq1
Learn more: http://maxeler.com/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
- POWER9 delivers 2x the compute resources per socket through new cores optimized for stronger thread performance and efficiency.
- It features direct memory attach with up to 8 DDR4 ports and buffered memory with 8 channels for scale-out and scale-up configurations.
- The processor provides leadership hardware acceleration through enhanced on-chip acceleration, NVLink 2.0, CAPI 2.0, and a new open CAPI interface using 25G signaling for high bandwidth and low latency attachment of accelerators.
The document discusses key trends in computer technology and architecture over recent decades. It notes that improvements in semiconductor technology and computer architectures have enabled significant performance gains. However, single processor performance improvements ended around 2003. New approaches like data, thread, and request level parallelism are now needed. The document also covers trends in different classes of computers, parallelism techniques, Flynn's taxonomy of computer architectures, factors that define computer architecture like instruction sets, and important principles of computer design like exploiting parallelism and locality.
40 Powers of 10 - Simulating the Universe with the DiRAC HPC Facilityinside-BigData.com
In this deck from the Swiss HPC Conference, Mark Wilkinson presents: 40 Powers of 10 - Simulating the Universe with the DiRAC HPC Facility.
"DiRAC is the integrated supercomputing facility for theoretical modeling and HPC-based research in particle physics, and astrophysics, cosmology, and nuclear physics, all areas in which the UK is world-leading. DiRAC provides a variety of compute resources, matching machine architecture to the algorithm design and requirements of the research problems to be solved. As a single federated Facility, DiRAC allows more effective and efficient use of computing resources, supporting the delivery of the science programs across the STFC research communities. It provides a common training and consultation framework and, crucially, provides critical mass and a coordinating structure for both small- and large-scale cross-discipline science projects, the technical support needed to run and develop a distributed HPC service, and a pool of expertise to support knowledge transfer and industrial partnership projects. The on-going development and sharing of best-practice for the delivery of productive, national HPC services with DiRAC enables STFC researchers to produce world-leading science across the entire STFC science theory program."
Watch the video: https://wp.me/p3RLHQ-k94
Learn more: https://dirac.ac.uk/
and
http://hpcadvisorycouncil.com/events/2019/swiss-workshop/agenda.php
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Large-Scale Optimization Strategies for Typical HPC Workloadsinside-BigData.com
Large-scale optimization strategies for typical HPC workloads include:
1) Building a powerful profiling tool to analyze application performance and identify bottlenecks like inefficient instructions, memory bandwidth, and network utilization.
2) Harnessing state-of-the-art hardware like new CPU architectures, instruction sets, and accelerators to maximize application performance.
3) Leveraging the latest algorithms and computational models that are better suited for large-scale parallelization and new hardware.
For decades we have been able to take advantage of Moore’s Law to improve single thread performance, reduce power and cost with each generation of semiconductor technology. While technology has advanced after the end of Dennard scaling more than 10 years ago, the advances have slowed down. Server performance increases have relied on increasing core counts and power budgets.
At the same time, workloads have changed in the era of cloud computing. Scale out is becoming more important than scale up. Domain specific architectures have started to emerge to improve the energy efficiency of emerging workloads like deep learning.
This talk will provide a historical perspective and discuss emerging trends driving the development of modern processors.
The document discusses trends in integration technologies such as VLSI. It describes how VLSI has allowed for more compact, lower power, and higher speed integrated circuits. It classifies integrated circuits based on application, fabrication technique, technology, and device count. It then discusses the history of integrated circuits from the transistor in 1947 to modern chips containing tens of millions of transistors. It outlines drivers for VLSI technology including smaller sizes, lower power, and reduced costs.
This document outlines the key concepts and units for the course EC6009 - Advanced Computer Architecture. It covers five main units: (1) fundamentals of computer design, instruction level parallelism, (2) data level parallelism, (3) thread level parallelism, (4) memory and I/O, and (5) performance evaluation. The goals of the course are for students to understand performance of different architectures with respect to various parameters and techniques for improving performance like instruction level parallelism and exploiting data level parallelism.
The document discusses the GreenDroid mobile application processor, which uses specialized "conservation cores" (c-cores) to execute frequently used portions of application code and reduce energy consumption by 11x compared to conventional designs. It achieves this by filling the "dark silicon" areas of chips with these automatically generated c-cores. The c-cores are highly efficient because they remove unnecessary structures like instruction decoding. This approach converts unused silicon into significant energy savings while maintaining performance.
The document provides an overview of the history and evolution of semiconductors and integrated circuits from 1947 to present. It discusses key inventions and milestones such as the transistor in 1947, the integrated circuit in 1961, and Moore's Law predicting transistor doubling every two years. It also covers different chip design approaches including full custom, standard cell, gate arrays, and FPGAs, along with their relative costs, performance, and design complexities.
This document discusses challenges and requirements for low-power design and verification. It begins with an overview of how leakage is significantly increasing due to process scaling and how active power is now a major portion of power budgets. New strategies are needed to address process variations and enhance scaling approaches. The verification flows must support multi-voltage domain analysis and rule-based checking across voltage states while capturing island ordering and microarchitecture sequence errors. Low-power implementation introduces challenges for design representation, implementation across tools, and verification. Methodologies and design flows must be adapted to account for power and ground nets becoming functional signals.
Synergistic processing in cell's multicore architectureMichael Gschwind
The document discusses the Cell Broadband Engine architecture, which was designed to improve performance over desktop systems by an order of magnitude. It has a heterogeneous multi-chip design with one Power processor element for control tasks and eight synergistic processor units for data processing. The SPU architecture implements a novel pervasively data-parallel approach that combines scalar and SIMD processing on wide data paths to improve efficiency. This enables more processing cores to fit on a chip for high thread-level parallelism.
1. FinFETs allow for independent control of transistor gates, enabling new low-power circuit techniques like unusual logic styles and dual-Vdd circuits.
2. Simulation shows these FinFET circuit techniques can reduce total power consumption in ISCAS'85 benchmarks by up to 80% compared to traditional static CMOS designs.
3. FinFETs also enable architectural optimizations like variation-tolerant SRAM and novel non-volatile reconfigurable logic that could provide over an order of magnitude improvements in density and performance.
This document outlines the course contents for a VLSI Design course. The course covers six units: (1) an introduction to VLSI design including Moore's Law and design challenges, (2) VLSI circuit design processes and technologies, (3) analysis of CMOS logic circuits, (4) advanced CMOS logic circuit techniques, (5) memories, and (6) testing and testability. The goal of the course is to provide students with knowledge of very large scale integration circuits, which are essential components in modern electronic devices.
Hardware and Software Architectures for the CELL BROADBAND ENGINE processorSlide_N
This document provides an overview of the Cell Broadband Engine processor architecture. It describes the key components of the Cell processor including the Power Processor Element (PPE) and 8 Synergistic Processor Elements (SPEs). The PPE acts as a general purpose 64-bit RISC processor, while the SPEs are intended for intensive numeric computation. The document outlines the memory hierarchy and DMA capabilities that provide high bandwidth memory access. It also describes the internal Element Interconnect Bus and external interfaces that enable high bandwidth communication on the chip.
This document provides an outline and overview of key topics in computer architecture. It discusses three main classes of computers - desktops, servers, and embedded systems. It also defines important concepts like instruction set architecture, organization, hardware, and architecture. Several trends are covered, including improvements in integrated circuit technology, memory technology, network technology, and scaling of transistor performance over time. Power consumption in integrated circuits is also addressed. The document discusses cost trends in semiconductor manufacturing and metrics for measuring computer performance like response time and throughput.
This slide explains about the detailed view hardware architecture which includes CPUs, GPUs, Interconnect networks and applications used by the summit supercomputer
Empirically Derived Abstractions in Uncore Power Modeling for a Server-Class...Arun Joseph
1) The document describes empirically derived power models for uncore elements like the Power Bus and memory controllers of IBM's POWER8 server processor.
2) Using a small set of activity markers like read, write, retry and snoop events along with microbenchmarks, the models can predict uncore power with up to 6% error.
3) These abstract power models allow more accurate dynamic power management by the chip compared to using a constant worst-case uncore power, potentially enabling a 5% CPU frequency boost.
Deview 2013 rise of the wimpy machines - john maoNAVER D2
Calxeda's ARM-based servers provide significant efficiency advantages over traditional x86 servers for scale-out workloads. The FAWN project at CMU demonstrated that a cluster of low-power ARM nodes could achieve over 360 queries per joule for key-value store applications, two orders of magnitude better than traditional servers. Calxeda's ECX-1000 servers based on Cortex-A9 ARM processors showed 70% higher performance per watt than Intel Xeon servers for web application workloads. Upcoming servers using Cortex-A15 and Cortex-A57 ARM processors are expected to provide even better performance. These efficiency gains make ARM servers well-suited for distributed applications like storage, analytics and
- POWER9 delivers 2x the compute resources per socket through new cores optimized for stronger thread performance and efficiency.
- It features direct memory attach with up to 8 DDR4 ports and buffered memory with 8 channels for scale-out and scale-up configurations.
- The processor provides leadership hardware acceleration through enhanced on-chip acceleration, NVLink 2.0, CAPI 2.0, and a new open CAPI interface using 25G signaling for high bandwidth and low latency attachment of accelerators.
The document discusses key trends in computer technology and architecture over recent decades. It notes that improvements in semiconductor technology and computer architectures have enabled significant performance gains. However, single processor performance improvements ended around 2003. New approaches like data, thread, and request level parallelism are now needed. The document also covers trends in different classes of computers, parallelism techniques, Flynn's taxonomy of computer architectures, factors that define computer architecture like instruction sets, and important principles of computer design like exploiting parallelism and locality.
40 Powers of 10 - Simulating the Universe with the DiRAC HPC Facilityinside-BigData.com
In this deck from the Swiss HPC Conference, Mark Wilkinson presents: 40 Powers of 10 - Simulating the Universe with the DiRAC HPC Facility.
"DiRAC is the integrated supercomputing facility for theoretical modeling and HPC-based research in particle physics, and astrophysics, cosmology, and nuclear physics, all areas in which the UK is world-leading. DiRAC provides a variety of compute resources, matching machine architecture to the algorithm design and requirements of the research problems to be solved. As a single federated Facility, DiRAC allows more effective and efficient use of computing resources, supporting the delivery of the science programs across the STFC research communities. It provides a common training and consultation framework and, crucially, provides critical mass and a coordinating structure for both small- and large-scale cross-discipline science projects, the technical support needed to run and develop a distributed HPC service, and a pool of expertise to support knowledge transfer and industrial partnership projects. The on-going development and sharing of best-practice for the delivery of productive, national HPC services with DiRAC enables STFC researchers to produce world-leading science across the entire STFC science theory program."
Watch the video: https://wp.me/p3RLHQ-k94
Learn more: https://dirac.ac.uk/
and
http://hpcadvisorycouncil.com/events/2019/swiss-workshop/agenda.php
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Large-Scale Optimization Strategies for Typical HPC Workloadsinside-BigData.com
Large-scale optimization strategies for typical HPC workloads include:
1) Building a powerful profiling tool to analyze application performance and identify bottlenecks like inefficient instructions, memory bandwidth, and network utilization.
2) Harnessing state-of-the-art hardware like new CPU architectures, instruction sets, and accelerators to maximize application performance.
3) Leveraging the latest algorithms and computational models that are better suited for large-scale parallelization and new hardware.
For decades we have been able to take advantage of Moore’s Law to improve single thread performance, reduce power and cost with each generation of semiconductor technology. While technology has advanced after the end of Dennard scaling more than 10 years ago, the advances have slowed down. Server performance increases have relied on increasing core counts and power budgets.
At the same time, workloads have changed in the era of cloud computing. Scale out is becoming more important than scale up. Domain specific architectures have started to emerge to improve the energy efficiency of emerging workloads like deep learning.
This talk will provide a historical perspective and discuss emerging trends driving the development of modern processors.
The document discusses trends in integration technologies such as VLSI. It describes how VLSI has allowed for more compact, lower power, and higher speed integrated circuits. It classifies integrated circuits based on application, fabrication technique, technology, and device count. It then discusses the history of integrated circuits from the transistor in 1947 to modern chips containing tens of millions of transistors. It outlines drivers for VLSI technology including smaller sizes, lower power, and reduced costs.
This document outlines the key concepts and units for the course EC6009 - Advanced Computer Architecture. It covers five main units: (1) fundamentals of computer design, instruction level parallelism, (2) data level parallelism, (3) thread level parallelism, (4) memory and I/O, and (5) performance evaluation. The goals of the course are for students to understand performance of different architectures with respect to various parameters and techniques for improving performance like instruction level parallelism and exploiting data level parallelism.
The document discusses the GreenDroid mobile application processor, which uses specialized "conservation cores" (c-cores) to execute frequently used portions of application code and reduce energy consumption by 11x compared to conventional designs. It achieves this by filling the "dark silicon" areas of chips with these automatically generated c-cores. The c-cores are highly efficient because they remove unnecessary structures like instruction decoding. This approach converts unused silicon into significant energy savings while maintaining performance.
The document provides an overview of the history and evolution of semiconductors and integrated circuits from 1947 to present. It discusses key inventions and milestones such as the transistor in 1947, the integrated circuit in 1961, and Moore's Law predicting transistor doubling every two years. It also covers different chip design approaches including full custom, standard cell, gate arrays, and FPGAs, along with their relative costs, performance, and design complexities.
This document discusses challenges and requirements for low-power design and verification. It begins with an overview of how leakage is significantly increasing due to process scaling and how active power is now a major portion of power budgets. New strategies are needed to address process variations and enhance scaling approaches. The verification flows must support multi-voltage domain analysis and rule-based checking across voltage states while capturing island ordering and microarchitecture sequence errors. Low-power implementation introduces challenges for design representation, implementation across tools, and verification. Methodologies and design flows must be adapted to account for power and ground nets becoming functional signals.
Synergistic processing in cell's multicore architectureMichael Gschwind
The document discusses the Cell Broadband Engine architecture, which was designed to improve performance over desktop systems by an order of magnitude. It has a heterogeneous multi-chip design with one Power processor element for control tasks and eight synergistic processor units for data processing. The SPU architecture implements a novel pervasively data-parallel approach that combines scalar and SIMD processing on wide data paths to improve efficiency. This enables more processing cores to fit on a chip for high thread-level parallelism.
1. FinFETs allow for independent control of transistor gates, enabling new low-power circuit techniques like unusual logic styles and dual-Vdd circuits.
2. Simulation shows these FinFET circuit techniques can reduce total power consumption in ISCAS'85 benchmarks by up to 80% compared to traditional static CMOS designs.
3. FinFETs also enable architectural optimizations like variation-tolerant SRAM and novel non-volatile reconfigurable logic that could provide over an order of magnitude improvements in density and performance.
This document outlines the course contents for a VLSI Design course. The course covers six units: (1) an introduction to VLSI design including Moore's Law and design challenges, (2) VLSI circuit design processes and technologies, (3) analysis of CMOS logic circuits, (4) advanced CMOS logic circuit techniques, (5) memories, and (6) testing and testability. The goal of the course is to provide students with knowledge of very large scale integration circuits, which are essential components in modern electronic devices.
Hardware and Software Architectures for the CELL BROADBAND ENGINE processorSlide_N
This document provides an overview of the Cell Broadband Engine processor architecture. It describes the key components of the Cell processor including the Power Processor Element (PPE) and 8 Synergistic Processor Elements (SPEs). The PPE acts as a general purpose 64-bit RISC processor, while the SPEs are intended for intensive numeric computation. The document outlines the memory hierarchy and DMA capabilities that provide high bandwidth memory access. It also describes the internal Element Interconnect Bus and external interfaces that enable high bandwidth communication on the chip.
This document provides an outline and overview of key topics in computer architecture. It discusses three main classes of computers - desktops, servers, and embedded systems. It also defines important concepts like instruction set architecture, organization, hardware, and architecture. Several trends are covered, including improvements in integrated circuit technology, memory technology, network technology, and scaling of transistor performance over time. Power consumption in integrated circuits is also addressed. The document discusses cost trends in semiconductor manufacturing and metrics for measuring computer performance like response time and throughput.
This slide explains about the detailed view hardware architecture which includes CPUs, GPUs, Interconnect networks and applications used by the summit supercomputer
Empirically Derived Abstractions in Uncore Power Modeling for a Server-Class...Arun Joseph
1) The document describes empirically derived power models for uncore elements like the Power Bus and memory controllers of IBM's POWER8 server processor.
2) Using a small set of activity markers like read, write, retry and snoop events along with microbenchmarks, the models can predict uncore power with up to 6% error.
3) These abstract power models allow more accurate dynamic power management by the chip compared to using a constant worst-case uncore power, potentially enabling a 5% CPU frequency boost.
Deview 2013 rise of the wimpy machines - john maoNAVER D2
Calxeda's ARM-based servers provide significant efficiency advantages over traditional x86 servers for scale-out workloads. The FAWN project at CMU demonstrated that a cluster of low-power ARM nodes could achieve over 360 queries per joule for key-value store applications, two orders of magnitude better than traditional servers. Calxeda's ECX-1000 servers based on Cortex-A9 ARM processors showed 70% higher performance per watt than Intel Xeon servers for web application workloads. Upcoming servers using Cortex-A15 and Cortex-A57 ARM processors are expected to provide even better performance. These efficiency gains make ARM servers well-suited for distributed applications like storage, analytics and
Similaire à Chip Multiprocessing and the Cell Broadband Engine.pdf (20)
New Millennium for Computer Entertainment - KutaragiSlide_N
This document discusses the next generation of computer entertainment and Sony's vision for the future. It summarizes Sony's development of new technologies including the Emotion Engine processor and Graphics Synthesizer that will power the next PlayStation console. These new components provide significantly more processing and graphics capabilities compared to existing consoles and PCs. Sony aims to advance from sound and graphics synthesis to emotion synthesis by using these technologies to generate realistic animations and simulate human emotions in games.
Ken Kutaragi was the Executive Deputy President and COO in charge of Home, Broadband and Semiconductor Solutions Network Companies, and Game Business Group at Sony. He saw digital consumer electronics like digital flat TVs, home servers, and digital cameras as the new driving force for next generation technologies. He believed future homes would be powered by technologies like artificial intelligence, broadband networks, optical/wireless connectivity, and the PlayStation portable game console. Semiconductors would be the "heart" powering various digital devices, and entertainment was viewed as the "key" application that would drive new digital content and computing platforms like Sony's CELL processor.
The document outlines Nobuyuki Idei's transformation plan for Sony to improve profitability through structural reform. The plan involves two phases from FY2003-FY2006: 1) reducing fixed costs by 330 billion yen through streamlining operations and headcount reductions, and 2) implementing "convergence strategies" across businesses to enhance core businesses and create new areas of growth. The goal is to increase the group operating profit margin to over 10% by FY2006.
Moving Innovative Game Technology from the Lab to the Living RoomSlide_N
Richard Marks discusses moving innovative game technology from research labs into consumer living rooms. He provides examples of how Sony has developed new input and sensing technologies like the EyeToy webcam and PlayStation Move motion controller through research and then incorporated them into popular gaming products. Marks explains the process from initial research concepts and prototypes to mass production and commercial launches. He also looks at future trends in areas like immersive displays, life gaming, and haptic feedback.
Cell Technology for Graphics and VisualizationSlide_N
The document discusses Cell technology for graphics and visualization. It provides an overview of the Cell architecture including its Power Processor Element (PPE) and Synergistic Processor Elements (SPEs). The PPE handles operating system tasks while the SPEs provide computational performance. The document outlines programming models for the Cell including function offload, application specific accelerators, computational acceleration, streaming, and a shared memory multiprocessor model. It also discusses heterogeneous threading and a single source compiler approach.
This document summarizes an IBM presentation on industry trends in microprocessor design. It discusses how single-thread performance growth has slowed due to power limitations, leading chipmakers to adopt multi-core designs. It then outlines IBM's Cell/B.E. microprocessor and roadmap, including its heterogeneous multi-core architecture combining general-purpose and specialized processing elements. Finally, it notes both AMD and Intel are moving toward heterogeneous designs that integrate CPU and GPU capabilities to better handle high-performance computing workloads.
Translating GPU Binaries to Tiered SIMD Architectures with OcelotSlide_N
The document discusses Ocelot, a binary translation framework that allows architectures other than NVIDIA GPUs to execute programs written in PTX, an intermediate representation used by NVIDIA GPUs. It describes how Ocelot maps the PTX thread hierarchy to different architectures, uses translation techniques to hide memory latency, and emulates GPU data structures. It also provides details on the implementation of the translator and a case study of translating a PTX program to IBM Cell Processor assembly code.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive function. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms for those who already suffer from conditions like anxiety and depression.
Network Processing on an SPE Core in Cell Broadband EngineTMSlide_N
This document discusses implementing network processing on a Synergistic Processing Element (SPE) core in a Cell Broadband Engine. The key points are:
1) A network interface driver and small protocol stack were implemented on a single SPE to avoid bottlenecks from using the general purpose PowerPC core for network processing.
2) Network processing was able to achieve near wire-speed performance of 8.5 Gbps for TCP and almost wire-speed for UDP, requiring no assistance from the PowerPC core during data transfer.
3) Dedicating an SPE core for network processing can help resolve performance issues from high-speed network interfaces by offloading the processing costs from the general purpose core.
Deferred Pixel Shading on the PLAYSTATION®3Slide_N
This document summarizes a deferred pixel shading algorithm implemented on the PlayStation 3 system. The algorithm runs pixel shaders on the Synergistic Processing Elements of the Cell processor concurrently with the GPU for rendering images. Experimental results found that running the pixel shading on 5 SPEs achieved a performance of up to 85Hz at 720p resolution, comparable to running on a high-end GPU. This indicates that the Cell processor can effectively enhance GPU performance by offloading pixel shading work.
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
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