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1. Stanford CS149 I Parallel Computing I 2023 I Lecture 7 - GPU architecture and CUDA Programming
CUDA programming abstractions, and how they are implemented on modern GPUs To along with the course, visit the ...
2. Stanford CS149 I Parallel Computing I 2023 I Lecture 2 - A Modern Multi-Core Processor
Forms of parallelism: multi-core, SIMD, and multi-threading To along with the course, visit the course website: ...
3. Stanford CS149 I 2023 I Lecture 3 - Multi-core Arch Part II + ISPC Programming Abstractions
To along with the course, visit the course website: gfxcourses.stanford.edu/cs149/fall23/ Kayvon Fatahalian ...
4. Stanford CS149 I Parallel Computing I 2023 I Lecture 1 - Why Parallelism Why Efficiency
Challenges of parallelizing code, motivations for parallel chips, processor basics To along with the course, visit the course ...
5. Stanford CS149 I Parallel Computing I 2023 I Lecture 4 - Parallel Programming Basics
Ways of thinking about parallel programs, thought process of parallelizing a program in data parallel and shared address space ...
6. Stanford CS149 I Parallel Computing I 2023 I Lecture 11 - Cache Coherence
Definition of memory coherence, invalidation-based coherence using MSI and MESI, false sharing To along with the course ...
7. Stanford CS149 I Parallel Computing I 2023 I Lecture 10 - Efficiently Evaluating DNNs on GPUs
Efficiently scheduling DNN layers, mapping convs to matrix-multiplication, transformers, layer fusion To along with the ...
8. Stanford CS149 I 2023 I Lecture 5 - Performance Optimization I: Work Distribution and Scheduling
Achieving good work distribution while minimizing overhead, scheduling Cilk programs with work stealing To along with the ...
9. Anti Terrorism Mission : CS Level 149
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10. Mass Effect cs 149
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11. Stanford CS149 I Lecture 6 - Performance Optimization II: Locality, Communication, and Contention
Message passing, async vs. blocking sends/receives, pipelining, increasing arithmetic intensity, avoiding contention To ...
12. Stanford CS149 I 2023 I Lecture 9 - Distributed Data-Parallel Computing Using Spark
Producer-consumer locality, RDD abstraction, Spark implementation and scheduling To along with the course, visit the ...
13. Stanford CS149 I 2023 I Lecture 13 - Fine-Grained Synchronization and Lock-Free Programming
Fine-grained synchronization via locks, basics of lock-free programming: single-reader/writer queues, lock-free stacks, the ABA ...
14. Stanford CS149 I Parallel Computing I 2023 I Lecture 17 - Transactional Memory 2
Finishing up transactional memory focusing on implementations of STM and HTM. To along with the course, visit the course ...
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