high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications

3-SAT on CUDA: Towards a massively parallel SAT solver

Quirin Meyer, Fabian Schonfeld, Marc Stamminger, Rolf Wanka

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 285, SAT

April 16, 2011 by hgpu

Hybrid Map Task Scheduling for GPU-Based Heterogeneous Clusters

Koichi Shirahata, Hitoshi Sato, Satoshi Matsuoka

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Presentation, Task scheduling, Tesla S1070

April 16, 2011 by hgpu

GP-GPU: Bridging the Gap between Modelling & Experimentation

T.F. Clayton, A.F. Murray, I. Lindsay

Tags: Biology, Neuroscience

April 16, 2011 by hgpu

Parallel Lexicographic Names Construction with CUDA

Weidong Sun, Zongmin Ma

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Tags: Code generation, Computer science, CUDA, nVidia, nVidia GeForce 9600 GSO, Suffix trees

April 16, 2011 by hgpu

A High-Performance Multi-user Service System for Financial Analytics Based on Web Service and GPU Computation

Gow-Hsing King, Zong-You Cai, Yan-Ying Lu, Jan-Jan Wu, Hung-Pin Shih, Chao-Rui Chang

Tags: Finance, nVidia, nVidia GeForce GTX 275, Tesla C1060

April 16, 2011 by hgpu

Accurate Measurements and Precise Modeling of Power Dissipation of CUDA Kernels toward Power Optimized High Performance CPU-GPU Computing

R. Suda, Da Qi Ren

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Tags: Computer science, CUDA, Energy-efficient computing, nVidia, nVidia GeForce 8800 GTS

April 16, 2011 by hgpu

Accelerating Particle Swarm Algorithm with GPGPU

M. Cadenas-Montes, M.A. Vega-Rodriguez, J.J. Rodriguez-Vazquez, A. Gomez-Iglesias

Tags: Algorithms, Computer science, Evolutionary Computations, Optimization

April 16, 2011 by hgpu

N-body Simulation for Astronomical Collisional Systems with a New SIMD Instruction Set Extension to the x86 Architecture, Advanced Vector Extensions

Ataru Tanikawa, Kohji Yoshikawa, Takashi Okamoto, Keigo Nitadori

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Tags: Algorithms, Astrophysics, Instrumentation and Methods for Astrophysics, N-body simulation, Stellar dynamics

April 15, 2011 by hgpu

Parallel implementation of a Quantization algorithm for pricing American style options on GPGPU

G. Pages, B. Wilbertz

Tags: CUDA, Finance, nVidia

April 15, 2011 by hgpu

Emerging technology about GPGPU

Enhua Wu, Youquan Liu

Tags: Computer science, Fluid simulation

April 15, 2011 by hgpu

GPU-accelerated 3D Bayesian image reconstruction from Compton scattered data

Van-Giang Nguyen, Soo-Jin Lee, Mi N. Lee

Tags: Image processing, Image reconstruction, Medical Physics

April 15, 2011 by hgpu

A distributed multi-GPU system for high speed electron microscopic tomographic reconstruction

Shawn Q. Zheng, Eric Branlund, Bettina Kesthelyi, Michael B. Braunfeld, Yifan Cheng, John W. Sedat, David A. Agard

Tags: CUDA, Image processing, Image reconstruction, nVidia, nVidia GeForce GTX 295, Tomography

April 15, 2011 by hgpu

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

BoltzGen:Toward Universal Binder Design

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

Accurate Models of NVIDIA Tensor Cores

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

tritonBLAS: Triton-based Analytical Approach for GEMM Kernel Parameter Selection

hls4ml: Machine learning on FPGAs using HLS

hls4ml: A Flexible, Open-Source Platform for Deep Learning Acceleration on Reconfigurable Hardware

NVIDIA Nemotron Parse 1.1

ThunderKittens: Tile primitives for speedy kernels

ParallelKittens: Systematic and Practical Simplification of Multi-GPU AI Kernels

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high performance computing on graphics processing units: hgpu.org

Applications

3-SAT on CUDA: Towards a massively parallel SAT solver

Hybrid Map Task Scheduling for GPU-Based Heterogeneous Clusters

GP-GPU: Bridging the Gap between Modelling & Experimentation

Parallel Lexicographic Names Construction with CUDA

A High-Performance Multi-user Service System for Financial Analytics Based on Web Service and GPU Computation

Accurate Measurements and Precise Modeling of Power Dissipation of CUDA Kernels toward Power Optimized High Performance CPU-GPU Computing

Accelerating Particle Swarm Algorithm with GPGPU

N-body Simulation for Astronomical Collisional Systems with a New SIMD Instruction Set Extension to the x86 Architecture, Advanced Vector Extensions

Parallel implementation of a Quantization algorithm for pricing American style options on GPGPU

Emerging technology about GPGPU

GPU-accelerated 3D Bayesian image reconstruction from Compton scattered data

A distributed multi-GPU system for high speed electron microscopic tomographic reconstruction

Recent source codes

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

BoltzGen:Toward Universal Binder Design

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

hls4ml: Machine learning on FPGAs using HLS

NVIDIA Nemotron Parse 1.1

ThunderKittens: Tile primitives for speedy kernels

Most viewed papers (last 30 days)