The document discusses hardware and software approaches to parallelism. Hardware parallelism utilizes multicore chips with more than one processor, GPUs with more than 10 processors, and cluster computing across networked systems. Software parallelism employs job scheduling to split a single process across threads, hyper-threading to make a single physical processor appear as two, and simultaneous multi-threading combining hyper-threading with multiple threads running simultaneously. The document also mentions software tools like Pthreads, OpenMP, and OpenCL that enable software parallelism.

1. Hardware vs Software Parallelism
Shivek Khurana
Cluster Innovation Centre
University Of Delhi

2. What is parallelism

3. Hardware Based Parallelism

4. Multicore Chips
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5. GPU
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6. Cluster Computing
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7. Grid Computing
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8. Software Based Parallelism

9. Job Scheduling/ Pipelining on a single core
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10. Hyper-threading
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11. Simultaneous Multi-threading
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12. Software Specific Tools
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13. That’s all folks.