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Writing programs on modern computers requires parallelism to achieve maximum performance. In this demo, Engin Kayraklioglu goes over how to program multi- This is a recording of a live demo session held on March 12, 2025, in which Engin Kayraklioglu went over how November 29, 2006 lecture by Ian Buck for the Stanford University Lecture 2 by Felipe Cruz, at the Pan-American Advanced Studies Institute (PASI)—"Scientific
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Programming Multiple GPUs using Chapel’s Parallelism and Locality Concepts
Vendor-Neutral, Scalable GPU Programming With Chapel - Daniel Fedorin, Hewlett Packard Enterprise
CUDA Programming Course – High-Performance Computing with GPUs
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Simple GPU programming in Chapel
Introduction to GPU Programming in Chapel
Stanford CS149 I Parallel Computing I 2023 I Lecture 7 - GPU architecture and CUDA Programming
How Does Chapel’s GPU Support Work?
Stanford Seminar - NVIDIA GPU Computing: A Journey from PC Gaming to Deep Learning
CUDA Live: Your Parallel Programming Guide
Foundations of AI: A multi-GPU sigmoid function in Chapel
Accelerate Your Programming or Science Career with GPU Computing: An Introduction to Using CUDA
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Last Updated: June 16, 2026
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