high performance computing on graphics processing units: hgpu.org

Martin Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Jozefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dan Mane, Rajat Monga, Sherry Moore, Derek Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda Viegas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, Xiaoqiang Zheng

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Tags: Computer science, Computer vision, CUDA, Deep learning, Heterogeneous systems, Information Retrieval, Machine learning, Neural networks, nVidia, Package, Speech recognition

November 11, 2015 by hgpu

Climbing Mont Blanc – A Training Site for Energy Efficient Programming on Heterogeneous Multicore Processors

Lasse Natvig, Torbjorn Follan, Simen Stoa, Sindre Magnussen, Antonio Garcia Guirado

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Tags: Computer science, Energy-efficient computing, Heterogeneous systems, OpenCL, OpenMP, Pthreads

November 11, 2015 by hgpu

Integrating a large-scale testing campaign in the CK framework

Andrei Lascu, Alastair F. Donaldson

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Tags: Computer science, OpenCL, Software Engineering

November 11, 2015 by hgpu

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high performance computing on graphics processing units: hgpu.org

Large Scale Artificial Neural Network Training Using Multi-GPUs

GPU-accelerated adjoint algorithmic differentiation

GPU-Based Inverse Rendering With Multi-Objective Particle Swarm Optimization

Fast Neuromimetic Object Recognition using FPGA Outperforms GPU Implementations

GEMMbench: a framework for reproducible and collaborative benchmarking of matrix multiplication

Accelerating Recommender Systems using GPUs

Accelerating Adaptive IDW Interpolation Algorithm on a Single GPU

Assembly-Free Structural Dynamics On CPU and GPU

Comparison of parallel sorting algorithms

TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

Climbing Mont Blanc – A Training Site for Energy Efficient Programming on Heterogeneous Multicore Processors

Integrating a large-scale testing campaign in the CK framework

Recent source codes

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference

Bandicoot: C++ library for GPU accelerated linear algebra

Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference

Fused Kernel Library (FKL)

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

Block: Balance Loader of LLM Serving with Context, Knowledge and Predictive Scheduling

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