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Week - 1
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Introduction to parallel programming; CPU architecture, speedup criteria (Amdahl/Gustafson), fundamental concepts |
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Week - 2
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Multithreading with C/C++: C++ and Pthreads Fundamentals |
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Week - 3
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Introduction to OpenMP: Parallel regions and basic directives |
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Week - 4
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Data dependencies & race conditions; critical sections, atomics, memory model |
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Week - 5
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Synchronization tools: mutex, semaphore, condition variables, barriers |
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Week - 6
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Reductions and scans (prefix sum); basic parallel patterns (map/reduce/stencil) |
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Week - 7
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Memory hierarchy: cache locality (temporal/spatial), line alignment, data placement |
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Week - 8
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Cache coherence & false sharing; NUMA architectures and memory binding (affinity) |
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Week - 9
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SIMD/Vectorization: compiler auto-vectorization, SSE/AVX concepts, overview of basic intrinsics |
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Week - 10
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Task parallelism & job queues; OpenMP tasking, granularity, and load balancing |
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Week - 11
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Performance measurement: timers, profiling tools (e.g., perf/VTune/LIKWID overview) |
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Week - 12
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Scalability analysis: strong/weak scaling, acceleration/efficiency, ceiling analyses |
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Week - 13
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Hybrid programming: Multi-node studies on CPU clusters using OpenMP + MPI |
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Week - 14
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Current trends and portability: C++, oneTBB, OpenMP advanced topics; course overall evaluation |
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