CUDA performance study on Hadoop MapReduce Cluster

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CUDA Performance Study on
Hadoop MapReduce Clusters
CSE 930 Advanced Computer Architecture @ Fall 2010

Chen He
che@cse.unl.edu

Peng Du
pdu@cse.unl.edu

University of Nebraska-Lincoln

Overview
•
•
•
•
•

Introduction
Methodology
Evaluation
Conclusions
Future work

Introduction
CPU+GPU Architecture

5.devC[]=devA[]+devB[]
G P U

1.Malloc a[],b[],c[]

Main Mem

C P U

2.cudaMalloc
(devA[],
devB[],
devC[])

6.store

8.recycle(devA[],
devB[],devC[])
BUS
3.copy a[],b[]
To devA[].devB[]

7.Copy devC[] to c[]

4.load

Introduction
• Questions
– Can we introduce CUDA into Hadoop MapReduce
Clusters?
• Mechanism and implementation

– Is this reasonable?
• Effects and Costs

Methodology
• Question-1:Can we introduce CUDA into Hadoop ?

Methodology
• Test cases
– SDK programs
• Data intensive: Matrix Multiplication
• Computation intensive: Monte Carlo

– MDMR (Molecular Dynamics simulation based on
MapReduce)
• Pure Java program
• Introduce JCUDA

Methodology
• Port CUDA programs onto Hadoop
– GPU (CUDA-C) vs CPU (C)
– Approach
• MapRed (processHadoopData & cudaCompute)
• Main
(Hadoop Pipes)
• Scripts (runbase.sh, run-<prog>-CPU/GPU.sh)
• Input data generators

Methodology
Hadoop DFS
Input Generator

generates

.c
.c
data

void generate(..)

Hadoop-enabled MonteCarlo

CUDA
MonteCarlo

MonteCarlo.cpp
extracted

.c
.c
.c
.cu
.cu
.cu

void processHadoopData(..)
void cudaCompute(..)

extracted

MapRed.cpp
class Mapper
class Reducer

Methodology
• MDMR (Molecular Dynamics simulation based
on MapReduce)
– Time Complexity by using CPU
T (n)  c1n2  c2 n  c3

– We can simply employ GPU to parallel the n-squre
portion and reduce the time complexity to linear
(within the limit of GPU threads)

T ' (n)  c1 (dn)  c2 n  c3  c4

Evaluation
• Environment
– Head: 2xAMD 2.2GHz, 4GB DDR400 RAM, 800GB HD
– Slaves: 3 PCs (AMD 2.3G CPU, 2G DDR2-667 RAM, 400GB HD, 1Gbps
Ethernet)
– GPU: XFX 9400GT 64bit 512MB DDR3
– CUDA 3.2 Toolkit
– Hadoop 0.20.3
– ServerTech CWG-CDU power distribution unit (for the power
consumption monitoring)
• Factors
– Speedup
– Power consumption
– Cost

Evaluation
• Matrix Multiplication (Execution time)

Evaluation
• Matrix Multiplication (Power consumption)

Conclusions
• Introduced GPU into MapReduce cluster and
obtained up to 20 times speedup.
• Reduced up to 19/20 power consumption with the
current preliminary solution and work load.
• Compared with upgrading CPUs and adding more
nodes, deploying GPU on Hadoop has high cost-tobenefit ratio.
• Provided practical implementations for people
wanting to construct MapReduce clusters with GPUs.

Future Work
• Port more CUDA programs onto Hadoop.
• Incorporate reducers into the experiments
• Support heterogeneous clusters which mixed
GPU-nodes and non-GPU nodes.

Reference
• nVIDIA CUDA
http://developer.nvidia.com/object/cuda-3.2/
• Hadoop, http://www.hadoop.com.
• J. Polo, D. Carrera, Y. Becerra, V. Beltran, J. Torres and
E. Ayguadé Performance Management of Accelerated
MapReduce Workloads in Heterogeneous Clusters,
ICPP2010, (2010), 654-662.
• C. He, D. Swanson. Molecular Dynamics simulation
based on MapReduce, poster section, LCI 2010, (2010).

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Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...

Neo4j

Increase engagement and revenue with Muvi Live Paywall! In this presentation, we will explore the five key benefits of using Muvi Live Paywall to monetize your live streams. You'll learn how Muvi Live Paywall can help you: Monetize your live content easily: Set up pay-per-view access to your live streams and start generating revenue from your content. Increase audience engagement: Provide exclusive, premium content behind the paywall to keep your viewers engaged. Gain valuable viewer insights: Track viewer data and analytics to better understand your audience and tailor your content accordingly. Reduce content piracy: Muvi Live Paywall's security features help protect your content from unauthorized distribution. Streamline your workflow: The all-in-one platform simplifies the process of managing and monetizing your live streams. With Muvi Live Paywall, you can take control of your live stream monetization and create a sustainable business model for your content. Learn more about Muvi Live Paywall and start generating revenue from your live streams today!

Top 5 Benefits OF Using Muvi Live Paywall For Live Streams

Roshan Dwivedi

AWS Community Day CPH - Three problems of Terraform

Andrey Devyatkin

With more memory available, system performance of three Dell devices increased, which can translate to a better user experience Conclusion When your system has plenty of RAM to meet your needs, you can efficiently access the applications and data you need to finish projects and to-do lists without sacrificing time and focus. Our test results show that with more memory available, three Dell PCs delivered better performance and took less time to complete the Procyon Office Productivity benchmark. These advantages translate to users being able to complete workflows more quickly and multitask more easily. Whether you need the mobility of the Latitude 5440, the creative capabilities of the Precision 3470, or the high performance of the OptiPlex Tower Plus 7010, configuring your system with more RAM can help keep processes running smoothly, enabling you to do more without compromising performance.

Boost PC performance: How more available memory can improve productivity

Principled Technologies

Abhishek Deb(1), Mr Abdul Kalam(2) M. Des (UX) , School of Design, DIT University , Dehradun. This paper explores the future potential of AI-enabled smartphone processors, aiming to investigate the advancements, capabilities, and implications of integrating artificial intelligence (AI) into smartphone technology. The research study goals consist of evaluating the development of AI in mobile phone processors, analyzing the existing state as well as abilities of AI-enabled cpus determining future patterns as well as chances together with reviewing obstacles as well as factors to consider for more growth.

Exploring the Future Potential of AI-Enabled Smartphone Processors

debabhi2

Top 10 Most Downloaded Games on Play Store in 2024

SynarionITSolutions

2024: Domino Containers - The Next Step. News from the Domino Container commu...

Martijn de Jong

Webinar Recording: https://www.panagenda.com/webinars/why-teams-call-analytics-is-critical-to-your-entire-business Nothing is as frustrating and noticeable as being in an important call and being unable to see or hear the other person. Not surprising then, that issues with Teams calls are among the most common problems users call their helpdesk for. Having in depth insight into everything relevant going on at the user’s device, local network, ISP and Microsoft itself during the call is crucial for good Microsoft Teams Call quality support. To ensure a quick and adequate solution and to ensure your users get the most out of their Microsoft 365. But did you know that ‘bad calls’ are also an excellent indicator of other problems arising? Precisely because it is so noticeable!? Like the canary in the mine, bad calls can be early indicators of problems. Problems that might otherwise not have been noticed for a while but can have a big impact on productivity and satisfaction. Join this session by Christoph Adler to learn how true Microsoft Teams call quality analytics helped other organizations troubleshoot bad calls and identify and fix problems that impacted Teams calls or the use of Microsoft365 in general. See what it can do to keep your users happy and productive! In this session we will cover - Why CQD data alone is not enough to troubleshoot call problems - The importance of attributing call problems to the right call participant - What call quality analytics can do to help you quickly find, fix-, and prevent problems - Why having retrospective detailed insights matters - Real life examples of how others have used Microsoft Teams call quality monitoring to problem shoot problems with their ISP, network, device health and more.

Why Teams call analytics are critical to your entire business

panagenda

Three things you will take away from the session: • How to run an effective tenant-to-tenant migration • Best practices for before, during, and after migration • Tips for using migration as a springboard to prepare for Copilot in Microsoft 365 Main ideas: Migration Overview: The presentation covers the current reality of cross-tenant migrations, the triggers, phases, best practices, and benefits of a successful tenant migration Considerations: When considering a migration, it is important to consider the migration scope, performance, customization, flexibility, user-friendly interface, automation, monitoring, support, training, scalability, data integrity, data security, cost, and licensing structure Next Wave: The next wave of change includes the launch of Copilot, which requires businesses to be prepared for upcoming changes related to Copilot and the cloud, and to consolidate data and tighten governance ShareGate: ShareGate can help with pre-migration analysis, configurable migration tool, and automated, end-user driven collaborative governance

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

sammart93

Imagine a world where information flows as swiftly as thought itself, making decision-making as fluid as the data driving it. Every moment is critical, and the right tools can significantly boost your organization’s performance. The power of real-time data automation through FME can turn this vision into reality. Aimed at professionals eager to leverage real-time data for enhanced decision-making and efficiency, this webinar will cover the essentials of real-time data and its significance. We’ll explore: FME’s role in real-time event processing, from data intake and analysis to transformation and reporting An overview of leveraging streams vs. automations FME’s impact across various industries highlighted by real-life case studies Live demonstrations on setting up FME workflows for real-time data Practical advice on getting started, best practices, and tips for effective implementation Join us to enhance your skills in real-time data automation with FME, and take your operational capabilities to the next level.

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

Safe Software

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

The Digital Insurer

Following the popularity of "Cloud Revolution: Exploring the New Wave of Serverless Spatial Data," we're thrilled to announce this much-anticipated encore webinar. In this sequel, we'll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR. Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios. Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects. Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you're building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Safe Software

In this session, we will delve into strategic approaches for optimizing knowledge management within Microsoft 365, amidst the evolving landscape of Copilot. From leveraging automatic metadata classification and permission governance with SharePoint Premium, to unlocking Viva Engage for the cultivation of knowledge and communities, you will gain actionable insights to bolster your organization's knowledge-sharing initiatives. In this session, we will also explore how to facilitate solutions to enable your employees to find answers and expertise within Microsoft 365. You will leave equipped with practical techniques and a deeper understanding of how there is more to effective knowledge management than just enabling Copilot, but building actual solutions to prepare the knowledge that Copilot and your employees can use.

Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...

Drew Madelung

Scaling API-first – The story of a global engineering organization

Radu Cotescu

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