high performance computing on graphics processing units: hgpu.org

hgpu.org » nVidia GeForce 8600 GS

Fault Tree Analysis Speed-up with GPU Parallel Computing

Hadi Aghassi, Farrokh Aghassi

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Fault tolerance, Monte Carlo simulation, nVidia, nVidia GeForce 8600 GS

July 1, 2012 by hgpu

Modeling GPU-CPU Workloads and Systems

Andrew Kerr, Gregory Diamos, Sudhakar Yalamanchili

View

Download (PDF)

Tags: Computer science, Heterogeneous systems, nVidia, nVidia GeForce 8600 GS, nVidia GeForce GTX 280, Performance, Task scheduling, Tesla C1060

March 23, 2011 by hgpu

GPU Accelerated Computation and Visualization of Hexagonal Cellular Automata

Stephane Gobron, Herve Bonafos and Daniel Mestre

View

Download (PDF)

Tags: Cellular automata, Computer science, Genetic programming, GLSL, nVidia, nVidia GeForce 7600 GT, nVidia GeForce 7900 M GTX, nVidia GeForce 8600 GS, nVidia GeForce 8800 GTX, nVidia Quadro FX 3500, OpenGL, Real-time graphics, Rendering

January 23, 2011 by hgpu

Sinus Endoscopy – Application of Advanced GPU Volume Rendering for Virtual Endoscopy

Arno Kruger, Christoph Kubisch, Bernhard Preim, Gero Strauss

View

Download (PDF)

Tags: Cg, Medicine, nVidia, nVidia GeForce 8600 GS, OpenGL, Rendering, Visualization

January 2, 2011 by hgpu

Mutual-Supervised Learning for Sequential-to-Parallel Code Translation

Hardware Compute Partitioning on NVIDIA GPUs for Composable Systems

KISim: Kubernetes Intelligent Scheduling Simulator

KIS-S: A GPU-Aware Kubernetes Inference Simulator with RL-Based Auto-Scaling

Efficient GPU Implementation of Multi-Precision Integer Division

exa-AMD: Exascale Accelerated Materials Discovery

Accelerated discovery and design of Fe-Co-Zr magnets with tunable magnetic anisotropy through machine learning and parallel computing

ParEval: A Parallel Code Evaluation Benchmark

ParEval-Repo: A Benchmark Suite for Evaluating LLMs with Repository-level HPC Translation Tasks

FlashSparse: Minimizing Computation Redundancy for Fast Sparse Matrix Multiplications on Tensor Cores

Libra: Synergizing CUDA and Tensor Cores for High-Performance Sparse Matrix Multiplication

WiLLM: An Open Wireless LLM Communication System

Vcc: the Vulkan Clang Compiler

No More Shading Languages: Compiling C++ to Vulkan Shaders

hpcbench: A set of benchmarking utilities for biomolecular simulation tools

Engineering Supercomputing Platforms for Biomolecular Applications

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Fault Tree Analysis Speed-up with GPU Parallel Computing

Modeling GPU-CPU Workloads and Systems

GPU Accelerated Computation and Visualization of Hexagonal Cellular Automata

Sinus Endoscopy – Application of Advanced GPU Volume Rendering for Virtual Endoscopy

Recent source codes

Mutual-Supervised Learning for Sequential-to-Parallel Code Translation

Hardware Compute Partitioning on NVIDIA GPUs for Composable Systems

KISim: Kubernetes Intelligent Scheduling Simulator

Efficient GPU Implementation of Multi-Precision Integer Division

exa-AMD: Exascale Accelerated Materials Discovery

ParEval: A Parallel Code Evaluation Benchmark

FlashSparse: Minimizing Computation Redundancy for Fast Sparse Matrix Multiplications on Tensor Cores

WiLLM: An Open Wireless LLM Communication System

Vcc: the Vulkan Clang Compiler

hpcbench: A set of benchmarking utilities for biomolecular simulation tools

Most viewed papers (last 30 days)