high performance computing on graphics processing units: hgpu.org

Programming

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A GPU operations framework for WattDB

Vitor Uwe Reus

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Tags: Computer science, CUDA, Databases, nVidia, nVidia GeForce GT 430, Thesis

September 17, 2012 by hgpu

Parallel hybrid SAT solving using OpenCL

Sander Beckers, Gorik De Samblanx, Floris De Smedt, Toon Goedeme, Lars Struyf, Joost Vennekens

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Tags: Algorithms, Computer science, nVidia, OpenCL, SAT, Tesla C2075

September 17, 2012 by hgpu

Massive parallelization of combinatorial statistical genetics analyses porting machine learning methods on general purpose graphics processing units (GPU)

Tony Kam-Thong

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Tags: Biology, CUDA, Genetics, Machine learning, nVidia, nVidia GeForce GTX 295, nVidia GeForce GTX 580, Package, Thesis

September 16, 2012 by hgpu

Parallel Benefit on Different Programming Paradigms

Chau-Yi Chou, Sheng-Hsiu Kuo, Chih-Wei Hsieh, Tsung-Che Tsai, Hsi-Ya Chang

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Tags: Benchmarking, Computer science, CUDA, GPU cluster, MPI, nVidia, nVidia GeForce GT 200, OpenMP, Performance

September 16, 2012 by hgpu

Parallel Implementation of Moving Averages and Stock Market Prediction

John Jenq

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Tags: CUDA, Finance, Neural networks, nVidia, nVidia GeForce GT 550 M

September 16, 2012 by hgpu

Accelerating the Smith-Waterman Algorithm for Bio-sequence Matching on GPU

Qianghua Zhu, Fei Xia, Guoqing Jin

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Tags: Algorithms, Bioinformatics, Biology, CUDA, Databases, nVidia, nVidia GeForce GTX 470, Sequence alignment, Sequence matching, Smith-Waterman algorithm

September 16, 2012 by hgpu

High Performance Computing on Astrophysics with Artificial Intelligence Algorithms

Juan C. Cuevas-Tello

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Tags: Algorithms, Artificial intelligence, Astrophysics, CUDA, MPI, Neural networks, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 470, Physics

September 16, 2012 by hgpu

NT-SIM: A Co-Simulator for Networked Signal Processing Applications

Stephen Won, Chung-Ching Shen, Shuvra S. Bhattacharyya

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Tags: CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 260, Signal processing

September 15, 2012 by hgpu

Real-time Kd-tree Based Importance Sampling of Environment Maps

Serkan Ergun, Murat Kurt, Aydin Ozturk

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, KD-tree, Monte Carlo integration, nVidia, nVidia GeForce GTX 480

September 15, 2012 by hgpu

Reducing thread divergence in a GPU-accelerated branch-and-bound algorithm

Imen Chakroun, Mohand Mezmaz, Nouredine Melab, Ahcene Bendjoudi

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Tags: Algorithms, Computer science, Data parallelism, nVidia, Optimization, Tesla C2050

September 15, 2012 by hgpu

Efficient computation of condition estimates for linear least squares problems

Marc Baboulin, Serge Gratton, Remi Lacroix, Alan Laub

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Tags: Computer science, CUDA, Linear Algebra, nVidia, Tesla C2075

September 15, 2012 by hgpu

High-Throughput parallel blind Virtual Screening using BINDSURF

Irene Sanchez-Linares, Horacio Perez-Sanchez, Jose M Cecilia, Jose M Garcia

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Tags: Bioinformatics, Biology, CUDA, Databases, nVidia, Tesla C2050

September 15, 2012 by hgpu

bioagent-bench: Benchmark for evaluating LLM agents in bioinformatics

BioAgent Bench: An AI Agent Evaluation Suite for Bioinformatics

Benchmark suite for LLM inference on NVIDIA consumer GPUs

Private LLM Inference on Consumer Blackwell GPUs: A Practical Guide for Cost-Effective Local Deployment in SMEs

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

Generating Literature-Driven Scientific Theories at Scale

Nsight Python: a Python kernel profiling interface based on NVIDIA Nsight Tools

Nsight Python: A Python-First Profiling Toolkit for Seamless GPU Kernel Analysis (Tool)

Awesome LLM-Driven Kernel Generation

Towards Automated Kernel Generation in the Era of LLMs

PhysProver: Advancing Automatic Theorem Proving for Physics

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

See all packages

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high performance computing on graphics processing units: hgpu.org

Programming

A GPU operations framework for WattDB

Parallel hybrid SAT solving using OpenCL

Massive parallelization of combinatorial statistical genetics analyses porting machine learning methods on general purpose graphics processing units (GPU)

Parallel Benefit on Different Programming Paradigms

Parallel Implementation of Moving Averages and Stock Market Prediction

Accelerating the Smith-Waterman Algorithm for Bio-sequence Matching on GPU

High Performance Computing on Astrophysics with Artificial Intelligence Algorithms

NT-SIM: A Co-Simulator for Networked Signal Processing Applications

Real-time Kd-tree Based Importance Sampling of Environment Maps

Reducing thread divergence in a GPU-accelerated branch-and-bound algorithm

Efficient computation of condition estimates for linear least squares problems

High-Throughput parallel blind Virtual Screening using BINDSURF

Recent source codes

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

Nsight Python: a Python kernel profiling interface based on NVIDIA Nsight Tools

Awesome LLM-Driven Kernel Generation

PhysProver: Advancing Automatic Theorem Proving for Physics

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

Most viewed papers (last 30 days)