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Introduction to High Performance Scientific Computing by Victor Eijkhout is a nonfiction available to read on EtoBox.
What is Introduction to High Performance Scientific Computing about?
The Von Neumann architecture......Page 7 Floating point units......Page 9 Memory Hierarchies......Page 13 Busses......Page 14 Latency and Bandwidth......Page 15 Caches......Page 16 TLB and virtual memory......Page 22 Multi-core chips......Page 23 Cache coherence......Page 25 Data reuse......Page 26 Locality......Page 27 Pipelining......Page 30 Cache size......Page 32 TLB......Page 33 Cache associativity......Page 35 Loop tiling......Page 36 Case study: Matrix-vector product......Page 37 Optimization strategies......Page 39 Cache aware programming......Page 40 Introduction......Page 41 Parallel Computers Architectures......Page 42 SIMD......Page 43 MIMD / SPMD computers......Page 45 Non-Uniform Memory Access......Page 46 Logically and physically distributed memory......Page 47 Data parallelism......Page 48 Task-level parallelism......Page 49 Thread parallelism......Page 51 OpenMP......Page 54 Message passing through MPI......Page 56 Parallel languages......Page 63 Latency hiding......Page 68 Topologies......Page 69 Some graph theory......Page 70 Linear arrays and rings......Page 71 Hypercubes......Page 72 Switched networks......Page 75 Theory......Page 78 Amdahl's law......Page 79 S
Who reads Introduction to High Performance Scientific Computing?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Victor Eijkhout
- Published
- 2011
- Language
- EN
- Category
- nonfiction
- Subjects
- Mathematics, Applied Mathematics, Stem
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