high performance computing on graphics processing units: hgpu.org

hgpu.org » Benchmarking

A High Performance Parallel FDTD Method Enhanced By Using SSE Instruction Set

Dau-Chyrh Chang, Shao-Hsiang Yen, Xiaoling Yang, Lihong Zhang, Wenhua Yu

View

Download (PDF)

Tags: Benchmarking, Electrodynamics, FDTD, Finite difference, Finite-difference time-domain, nVidia, Tesla C1060

January 19, 2012 by hgpu

LNA: Fast Protein Classification Using A Laplacian Characterization of Tertiary Structure

Nicolas Bonnel, Pierre-Francois Marteau

View

Download (PDF)

Tags: Algorithms, Benchmarking, Biology, Databases, nVidia, OpenCL, Tesla M2050

January 18, 2012 by hgpu

Evaluation and enhancement of memory efficiency targeting general-purpose computations on scalable data-parallel GPU architectures

Byunghyun Jang

View

Download (PDF)

Tags: Algorithms, ATI, ATI Radeon HD 5870, Benchmarking, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GTX 285, OpenCL, Optimization, Thesis

January 18, 2012 by hgpu

Decreasing NAME III Solution Time Using GP-GPU

Kingsley Gale-Sides

View

Download (PDF)

Tags: Benchmarking, Cloud, Computer science, CUDA, Fortran, MPI, nVidia, Tesla C2050, Tesla M1060, Thesis

January 1, 2012 by hgpu

Comparison of Fragmentation/Dispersion Models for Asteroid Nuclear Disruption Mission Design

Brian D. Kaplinger, Bong Wie

View

Download (PDF)

Tags: Algorithms, Astrophysics, Benchmarking, CUDA, nVidia, Tesla C2050

December 31, 2011 by hgpu

Resource-Aware Compiler Prefetching for Fine-Grained Many-Cores

George C. Caragea, Alexandros Tzannes, Fuat Keceli, Rajeev Barua, Uzi Vishkin

View

Download (PDF)

Source codes

Tags: Algorithms, ASIC, Benchmarking, Computer science, Memory level parallelism, nVidia, Package, Prefetch

December 29, 2011 by hgpu

Acceleration of PIC Simulation with GPU

Junya Suzuki, Hironori Shimazu, Keiichiro Fukazawa, Mitsue Den

View

Download (PDF)

Tags: Benchmarking, CUDA, nVidia, Particle-in-cell methods, Physics, Plasma physics, Tesla C1060

December 29, 2011 by hgpu

Visualization assisted by parallel processing

B. Lange, W. Puech, and N. Rodriguez, H. Rey, X. Vasques

View

Download (PDF)

Tags: Algorithms, Benchmarking, Computer science, nVidia, nVidia GeForce GT 330, OpenCL, Rendering, Visualization, Voronoi diagram

December 29, 2011 by hgpu

Enabling New Uses for GPUs

Matthew D. Sinclair

View

Download (PDF)

Tags: Benchmarking, Computer science, CUDA, nVidia, nVidia Quadro FX 580, Tesla C1060, Thesis

December 27, 2011 by hgpu

Fast Parallel Machine Learning Algorithms for Large Datasets Using Graphic Processing Unit

Qi Li

View

Download (PDF)

Tags: Algorithms, Benchmarking, Computer science, CUDA, Machine learning, Nearest neighbour, nVidia, Optimization, Sorting, Tesla C1060, Tesla C2050, Tesla C2070, Thesis

December 26, 2011 by hgpu

Survey on Benchmarks for a GPU Based Multi Camera Stereo Matching Algorithm

Klaus Denker, Georg Umlauf

View

Download (PDF)

Tags: Algorithms, Benchmarking, Computer science, Computer vision, GLSL, OpenGL

December 23, 2011 by hgpu

GPU-based parallel collision detection for real-time motion planning

Jia Pan, Dinesh Manocha

View

Download (PDF)

Tags: Algorithms, Benchmarking, Clustering, Collision detection, Computer science, CUDA, nVidia, nVidia GeForce GTX 480

December 22, 2011 by hgpu

CUDAnalyst (CUDA + Analyst)

Towards Feedback-to-Plan Decisions for Self-Evolving LLM Agents in CUDA Kernel Generation

CodegenBench

CodegenBench: Can LLMs Write Efficient Code Across Architectures?

KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels

CuTile Benchmark Suite: Performance and Productivity Tradeoffs for GPU Kernel Programming on Blackwell Architecture

Evaluating CUDA Tile for AI Workloads on Hopper and Blackwell GPUs

Device Virtual Machine (DVM)

DVM: Real-Time Kernel Generation for Dynamic AI Models

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Agentic Code Optimization via Compiler-LLM Cooperation

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

A High Performance Parallel FDTD Method Enhanced By Using SSE Instruction Set

LNA: Fast Protein Classification Using A Laplacian Characterization of Tertiary Structure

Evaluation and enhancement of memory efficiency targeting general-purpose computations on scalable data-parallel GPU architectures

Comparison of Fragmentation/Dispersion Models for Asteroid Nuclear Disruption Mission Design

Resource-Aware Compiler Prefetching for Fine-Grained Many-Cores

Acceleration of PIC Simulation with GPU

Visualization assisted by parallel processing

Enabling New Uses for GPUs

Fast Parallel Machine Learning Algorithms for Large Datasets Using Graphic Processing Unit

Survey on Benchmarks for a GPU Based Multi Camera Stereo Matching Algorithm

GPU-based parallel collision detection for real-time motion planning

Recent source codes

CUDAnalyst (CUDA + Analyst)

CodegenBench

KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels

CUDA Kernel Fusion Benchmarks

IntelliKit: Agent-first tooling for AMD hardware

DITRON: Distributed Compiler based on Triton for Parallel Systems

CuTile Benchmark Suite: Performance and Productivity Tradeoffs for GPU Kernel Programming on Blackwell Architecture

Device Virtual Machine (DVM)

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Agentic Code Optimization via Compiler-LLM Cooperation

Most viewed papers (last 30 days)