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Physical and graphical effects in OpenCL by example

Justin Hensley, Derek Gerstmann, Jason Yang

Tags: 3D Graphics and Realism, Computer science, OpenCL, Programming techniques

August 18, 2011 by hgpu

Parallelization of the x264 encoder using OpenCL

Erich Marth, Guillermo Marcus

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Tags: Computer science, H.264/AVC, OpenCL, Package, Video encoding

August 18, 2011 by hgpu

Simulating Biological-Inspired Spiking Neural Networks with OpenCL

Jorn Hoffmann, Karim El-Laithy, Frank Guttler, Martin Bogdan

Tags: Computer science, Data parallelism, Neural networks, OpenCL

August 18, 2011 by hgpu

Parallel Batch Training of the Self-Organizing Map Using OpenCL

Masahiro Takatsuka, Michael Bui

Tags: Computer science, Neural networks, OpenCL, Self-organizing map

August 18, 2011 by hgpu

Maestro: Data Orchestration and Tuning for OpenCL Devices

Kyle Spafford, Jeremy Meredith, Jeffrey Vetter

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Tags: ATI, ATI Radeon HD 5870, Computer science, GPU cluster, Heterogeneous systems, nVidia, nVidia GeForce 8800 GTX, OpenCL, Performance, Tesla C1060, Tesla S1070

August 18, 2011 by hgpu

Optimizing the exploitation of multicore processors and GPUs with OpenMP and OpenCL

Roger Ferrer, Judit Planas, Pieter Bellens, Alejandro Duran, Marc Gonzalez, Xavier Martorell, Rosa M. Badia, Eduard Ayguade, Jesus Labarta

Tags: Cell processor, Computer science, CUDA, GPU cluster, nVidia, OpenCL, OpenMP, Programming techniques

August 18, 2011 by hgpu

Analyzing program flow within a many-kernel OpenCL application

Perhaad Mistry, Chris Gregg, Norman Rubin, David Kaeli, Kim Hazelwood

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Tags: ATI, ATI Radeon HD 5870, Computer science, Computer vision, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, OpenCL, Performance

August 18, 2011 by hgpu

High Throughput Variable Size Non-square Gabor Engine with Feature Pooling Based on GPU

Ali Emami, Abbas Bigdeli, Adam Postula

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Tags: Computer science, Computer vision, CUDA, FFT, nVidia, nVidia GeForce GTX 285, OpenCL

August 17, 2011 by hgpu

Topical perspective on massive threading and parallelism

Robert M. Farber

Tags: Computer science, CUDA, nVidia, OpenCL, Review

August 16, 2011 by hgpu

THOR: A Transparent Heterogeneous Open Resource framework

J.L. Vazquez-Poletti, J. Perhac, J. Ryan, A.C. Elster

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Tags: Algorithms, Benchmarking, Cloud, Computer science, GPU cluster, Heterogeneous systems, nVidia, nVidia GeForce 9800 GX2, nVidia GeForce GTX 470, OpenCL, Tesla S1070

August 10, 2011 by hgpu

Performance Comparison with OpenMP Parallelization for Multi-core Systems

Chao-Tung Yang, Tzu-Chieh Chang, Hsien-Yi Wang, William C.C. Chu, Chih-Hung Chang

Tags: Code generation, Compilers, Computer science, CUDA, Data parallelism, Fortran, nVidia, OpenCL, OpenMP, Performance

August 8, 2011 by hgpu

AES finalists implementation for GPU and multi-core CPU based on OpenCL

Xingliang Wang, Xiaochao Li, Mei Zou, Jun Zhou

Tags: AES, Benchmarking, Computer science, CUDA, nVidia, OpenCL, Security

August 8, 2011 by hgpu

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

Accelerating a Linear Programming Algorithm on AMD GPUs

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

Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

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

Towards Efficient and Practical GPU Multitasking in the Era of LLM

Bandicoot: C++ library for GPU accelerated linear algebra

Bandicoot: A Templated C++ Library for GPU Linear Algebra

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

Fused Kernel Library (FKL)

The Fused Kernel Library: A C++ API to Develop Highly-Efficient GPU Libraries

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

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

Block: Balancing Load in LLM Serving with Context, Knowledge and Predictive Scheduling

SIGMo: Scalable Isomorphism Graph Matching on GPUs

SIGMo: High-Throughput Batched Subgraph Isomorphism on GPUs for Molecular Matching

DGEMM without FP64 Arithmetic - using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

DGEMM without FP64 Arithmetic – using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

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high performance computing on graphics processing units: hgpu.org

Programming

Physical and graphical effects in OpenCL by example

Parallelization of the x264 encoder using OpenCL

Simulating Biological-Inspired Spiking Neural Networks with OpenCL

Parallel Batch Training of the Self-Organizing Map Using OpenCL

Maestro: Data Orchestration and Tuning for OpenCL Devices

Optimizing the exploitation of multicore processors and GPUs with OpenMP and OpenCL

Analyzing program flow within a many-kernel OpenCL application

High Throughput Variable Size Non-square Gabor Engine with Feature Pooling Based on GPU

Topical perspective on massive threading and parallelism

Performance Comparison with OpenMP Parallelization for Multi-core Systems

AES finalists implementation for GPU and multi-core CPU based on OpenCL

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

SIGMo: Scalable Isomorphism Graph Matching on GPUs

DGEMM without FP64 Arithmetic - using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

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