high performance computing on graphics processing units: hgpu.org

hgpu.org » nVidia

Research on Parallel DVH Statistic Based on CUDA

Yangping Wang, Lian Li, Jianwu Dang, Chong Deng, Xiaogang Du

View

Download (PDF)

Tags: Computed tomography, CT, CUDA, Medicine, nVidia, nVidia GeForce GTX 650 Ti, Radiotherapy

July 30, 2014 by hgpu

A CUDA-Based Real Parameter Optimization Benchmark

Ke Ding, Ying Tan

View

Download (PDF)

Source codes

Tags: Algorithms, Benchmarking, Computer science, CUDA, Neural and Evolutionary Computing, nVidia, nVidia GeForce GTX 560 Ti, Optimization, Package

July 30, 2014 by hgpu

Optimizing Lempel-Ziv Factorization for the GPU Architecture

Bryan Ching

View

Download (PDF)

Tags: Algorithms, Compression, Computer science, CUDA, Factorization, nVidia, nVidia GeForce GTX Titan, Tesla K40, Thesis

July 29, 2014 by hgpu

Implicit Methods for Real-Time simulation of Interactive Waves

Akash Mittal

View

Download (PDF)

Tags: CUDA, Fluid dynamics, nVidia, nVidia GeForce GTX 780, Thesis, Visualization

July 29, 2014 by hgpu

Parallel Worldline Numerics: Implementation and Error Analysis

Dan Mazur, Jeremy S. Heyl

View

Download (PDF)

Tags: CUDA, High Energy Physics - Theory, nVidia, Physics, Tesla C1060

July 29, 2014 by hgpu

Mixed-precision orthogonalization scheme and its case studies with CA-GMRES on a GPU

Ichitaro Yamazaki, Stanimire Tomov, Tingxing Dong, Jack Dongarra

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Mixed precision, nVidia, Tesla K20, Tesla K40, Tesla M2090

July 29, 2014 by hgpu

Aristotle: A Performance Impact Indicator for the OpenCL Kernels Using Local Memory

Jianbin Fang, Henk Sips, Ana Lucia Varbanescu

View

Download (PDF)

Source codes

Tags: ATI, ATI Radeon HD 7970, Computer science, Intel Xeon Phi, Local memory, nVidia, OpenCL, Performance, Portability, Tesla C1060, Tesla C2050, Tesla K20

July 29, 2014 by jfang

GPU Computing to Improve Game Engine Performance

Abu Asaduzzaman, Hin Y. Lee

View

Download (PDF)

Tags: Computer science, CUDA, Data parallelism, Games, Image processing, nVidia, nVidia GeForce 8800 GTX, Performance

July 28, 2014 by hgpu

Computational investigation of intense short-wavelength laser interaction with rare gas clusters

Nicolas Bigaouette

View

Download (PDF)

Tags: nVidia, OpenCL, Physics, Quantum Physics, Tesla M2075, Thesis

July 28, 2014 by hgpu

Ship Detection from SAR Imagery Using CUDA and Performance Analysis of the System

Chaitanya P. Chandgude, P. M. Chawan

View

Download (PDF)

Tags: Algorithms, CUDA, Image processing, nVidia

July 28, 2014 by hgpu

Bayesian model comparison via sequential Monte Carlo

Yan Zhou

View

Download (PDF)

Source codes

Tags: Algorithms, Bayesian, Mathematics, nVidia, nVidia Quadro 2000, OpenCL, Package, Statistics, Thesis

July 28, 2014 by hgpu

OMP2HMPP: HMPP Source Code Generation from Programs with Pragma Extensions

Albert Saa-Garriga, David Castells-Rufas, Jordi Carrabina

View

Download (PDF)

Tags: Code generation, Compilers, Computer science, CUDA, Heterogeneous systems, nVidia, Tesla C2075, Tesla K20, Tesla M2050

July 28, 2014 by hgpu

KernelZero: Co-Evolving Proposer and Coder for Continuously Improved GPU Kernel Generation

Introduction to Computer Vision

ACT: Accelerator Compiler Toolkit

Automatically Generating ML Compiler Backends from Tensor Accelerator ISA Descriptions

pytest-gpu-proof: A Simple Pytest Extension for Local GPU Code Testing

pytest-gpu-proof: Enabling Cloud-CPU Continuous Integration for GPU Code with Local GPU Attestation

Accelerating the Mitigation of LLM Inference Nondeterminism Across GPU Architectures

AutoTuneBench: Trustworthy Measurement for Agent Auto-Tuning of LLM Serving Engines

nvsass-disassembler

Automated Instruction Encoding Synthesis for Modern GPU ISA Compression

PrefixBench-H100: Characterizing Prefix Reuse and Time-to-First-Token in H100 LLM Serving

FP4 FlashAttention forward, backward, and TorchTitan reproduction code

Hardware-Aware FP4 FlashAttention-4

EinsummableV3 - graph-based computation with tensor operations support

Every Kernel Is a Join: Automatic Multi-GPU Parallelism for AI Computations in Einsummable

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Research on Parallel DVH Statistic Based on CUDA

A CUDA-Based Real Parameter Optimization Benchmark

Optimizing Lempel-Ziv Factorization for the GPU Architecture

Implicit Methods for Real-Time simulation of Interactive Waves

Parallel Worldline Numerics: Implementation and Error Analysis

Mixed-precision orthogonalization scheme and its case studies with CA-GMRES on a GPU

Aristotle: A Performance Impact Indicator for the OpenCL Kernels Using Local Memory

GPU Computing to Improve Game Engine Performance

Computational investigation of intense short-wavelength laser interaction with rare gas clusters

Ship Detection from SAR Imagery Using CUDA and Performance Analysis of the System

Bayesian model comparison via sequential Monte Carlo

OMP2HMPP: HMPP Source Code Generation from Programs with Pragma Extensions

Recent source codes

KernelZero: Co-Evolving Proposer and Coder for Continuously Improved GPU Kernel Generation

Introduction to Computer Vision

ACT: Accelerator Compiler Toolkit

pytest-gpu-proof: A Simple Pytest Extension for Local GPU Code Testing

Accelerating the Mitigation of LLM Inference Nondeterminism Across GPU Architectures

AutoTuneBench: Trustworthy Measurement for Agent Auto-Tuning of LLM Serving Engines

nvsass-disassembler

PrefixBench-H100: Characterizing Prefix Reuse and Time-to-First-Token in H100 LLM Serving

FP4 FlashAttention forward, backward, and TorchTitan reproduction code

EinsummableV3 - graph-based computation with tensor operations support

Most viewed papers (last 30 days)