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(CS 213 or (CE 205 & 211)) or MS CS/CE or PhDs CS/CE or permission of Instructor. CS 358 serves as an introduction to the field of parallel computing. Topics include common parallel architectures ...

In this slidecast, Torsten Hoefler from ETH Zurich presents: Data-Centric Parallel Programming. The ubiquity of accelerators in high-performance computing has driven programming complexity beyond the ...

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CUDA is a parallel computing programming model for Nvidia GPUs. With the proliferation over the past decade of GPU usage for speeding up applications across HPC, AI and beyond, the ready availability ...

CATALOG DESCRIPTION: Parallel computer architecture and programming models. Message passing and shared memory multiprocessors. Scalability, synchronization, memory consistency, cache coherence. Memory ...

Programming tools that harness the computing power of CPUs and graphics processors have been updated, bringing more parallel programming capabilities to the table. Standards-setting firm Khronos Group ...

Back in 1965, Intel cofounder Gordon Moore predicted that the semiconductor industry could double the number of transistors on a chip every 12 months (he later amended it to 24 months) for about the ...