high performance computing on graphics processing units: hgpu.org

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Massively parallel approximate Gaussian process regression

Robert B. Gramacy, Jarad Niemi, Robin Weiss

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Tags: Cluster computing, CUDA, nVidia, Statistics, Tesla M2090

October 22, 2013 by hgpu

Fingerprint Local Invariant Feature Extraction on GPU with CUDA

Ali Ismail Awad

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Tags: Algorithms, Biometrics, Computer science, Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GT 430, SIFT

October 22, 2013 by hgpu

QCDGPU: open-source package for Monte Carlo lattice simulations on OpenCL-compatible multi-GPU systems

Vadim Demchik, Natalia Kolomoyets

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Tags: ATI, ATI Radeon HD 5870, ATI Radeon HD 6970, ATI Radeon HD 7970, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, nVidia GeForce GTX 560 M, nVidia GeForce GTX 560 Ti, OpenCL, Package, Phase transition, Physics, Pseudo-random number generators, QCD

October 21, 2013 by hgpu

An OpenCL-based Implementation of H.264 Encoder

Young Chun Kwon, Chanho Park, Daeseok Oh, WooSuk Jang, Nakhoon Baek

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Tags: H.264/AVC, Image processing, nVidia, nVidia GeForce GTX 560 Ti, OpenCL, Video encoding

October 21, 2013 by hgpu

Solving Multiple Queries through a Permutation Index in GPU

Mariela Lopresti, Natalia Miranda, Fabiana Piccoli, Nora Reyes

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Tags: Algorithms, Computer science, CUDA, Databases, nVidia, nVidia GeForce GT 520 M, nVidia GeForce GTX 330 M, nVidia GeForce GTX 550 Ti, Search

October 21, 2013 by hgpu

Concurrent kernel execution on Graphic Processing Units

Adrien Cassagne, Aurelien George, Benjamin Lorendeau, Jean-Charles Papin, Antoine Rougier

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 660, nVidia Quadro 4000, OpenCL, Performance, Thesis

October 21, 2013 by hgpu

Moim: A Multi-GPU MapReduce Framework

Mengjun Xie, Kyoung-Don Kang, Can Basaran

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Tags: Computer science, CUDA, MapReduce, MPI, nVidia, nVidia GeForce GTX 580, Thrust

October 21, 2013 by hgpu

Understanding the Costs of Many-Task Computing Workloads on Intel Xeon Phi Coprocessors

Jeffrey Johnson, Scott J. Krieder, Benjamin Grimmer, Justin M. Wozniaky, Michael Wildeyz, Ioan Raicu

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Tags: Computer science, Heterogeneous systems, Intel, Intel Phi

October 21, 2013 by hgpu

Optimization of the HEFT algorithm for a CPU-GPU environment

Karan R. Shetti, Suhaib A. Fahmy, Timo Bretschneider

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Tags: Algorithms, Computer science, Heterogeneous systems, Task scheduling

October 21, 2013 by hgpu

Energy Efficiency Studies of Mont Blanc Applications

Mads Holden

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Tags: ARM, Computer science, Energy-efficient computing, Matrix multiplication, OpenCL, Package, Thesis

October 21, 2013 by hgpu

Work Efficient Parallel Algorithms for Large Graph Exploration

Dip Sankar Banerjee, Shashank Sharma, Kishore Kothapalli

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Tags: Algorithms, Computer science, CUDA, Graph theory, Heterogeneous systems, nVidia, nVidia GeForce GTX 580

October 21, 2013 by hgpu

Architecture-and Workload-Aware Heterogeneous Algorithms for Sparse Matrix Vector Multiplication

Sivaramakrishna Bharadwaj Indarapu, Manoj Maramreddy, Kishore Kothapalli

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, Linear Algebra, nVidia, nVidia GeForce GTX 480, Sparse matrix

October 21, 2013 by hgpu

CL4SE: A Context Learning Benchmark For Software Engineering Tasks

CodeScaler: Scaling Code LLM Training and Test-Time Inference via Execution-Free Reward Models

A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5

DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels

KernelGYM & Dr. Kernel: A distributed GPU environment and a collection of RL training methods to support RL for Kernel Generations

Dr. Kernel: Reinforcement Learning Done Right for Triton Kernel Generations

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

Generating Literature-Driven Scientific Theories at Scale

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high performance computing on graphics processing units: hgpu.org

Applications

Massively parallel approximate Gaussian process regression

Fingerprint Local Invariant Feature Extraction on GPU with CUDA

QCDGPU: open-source package for Monte Carlo lattice simulations on OpenCL-compatible multi-GPU systems

An OpenCL-based Implementation of H.264 Encoder

Solving Multiple Queries through a Permutation Index in GPU

Concurrent kernel execution on Graphic Processing Units

Moim: A Multi-GPU MapReduce Framework

Understanding the Costs of Many-Task Computing Workloads on Intel Xeon Phi Coprocessors

Optimization of the HEFT algorithm for a CPU-GPU environment

Energy Efficiency Studies of Mont Blanc Applications

Work Efficient Parallel Algorithms for Large Graph Exploration

Architecture-and Workload-Aware Heterogeneous Algorithms for Sparse Matrix Vector Multiplication

Recent source codes

CL4SE: A Context Learning Benchmark For Software Engineering Tasks

CodeScaler: Scaling Code LLM Training and Test-Time Inference via Execution-Free Reward Models

A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5

DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels

KernelGYM & Dr. Kernel: A distributed GPU environment and a collection of RL training methods to support RL for Kernel Generations

Vortex-Optimized Light-weight Toolchain (VOLT)

SciDef: Automated Definition Extraction from Scientific Literature

bioagent-bench: Benchmark for evaluating LLM agents in bioinformatics

Benchmark suite for LLM inference on NVIDIA consumer GPUs

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

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