high performance computing on graphics processing units: hgpu.org

hgpu.org » Algorithms

Parallel Contour-Buildup Algorithm for the Molecular Surface

Michael Krone, Sebastian Grottel, Thomas Ertl

View

Tags: Algorithms, Chemistry, CUDA, Molecular dynamics, Molecular surface, nVidia, nVidia GeForce GTX 580, Optimization, Pharmaceuticals, Visualization

December 20, 2011 by hgpu

Parsing in Parallel on Multiple Cores and GPUs

Mark Johnson

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, nVidia, Tesla S2050

December 20, 2011 by hgpu

Floating-point Mixed-radix FFT Core Generation for FPGA and Comparison with GPU and CPU

Bo Duan, Wendi Wang, Xingjian Li, Chunming Zhang, Peiheng Zhang, Ninghui Sun

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, FFT, FPGA, nVidia, nVidia GeForce GTX 480, Optimization, Performance

December 20, 2011 by hgpu

Fast Random Graph Generation

Sadegh Heyrani Nobari, Xuesong Lu, Panagiotis Karras, Stephane Bressan

View

Download (PDF)

Source codes

Tags: Algorithms, Computer science, CUDA, Databases, Graph theory, nVidia, nVidia GeForce 9800 GT, Package

December 19, 2011 by hgpu

Optimization of mapped functions sequences using fusions on GPU

Jan Fousek

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, MPI, nVidia, nVidia GeForce GTX 480, Optimization, Thesis

December 19, 2011 by hgpu

GPU-based Implementation of the Variational Path Integral Method

Shanthan Mudhasan

View

Download (PDF)

Tags: Algorithms, CUDA, Data parallelism, nVidia, nVidia Quadro FX 3800, Physics, QMC, Thesis

December 19, 2011 by hgpu

Acceleration of grammatical evolution using graphics processing units: computational intelligence on consumer games and graphics hardware

Petr Pospichal, Eoin Murphy, Michael O'Neill, Josef Schwarz, Jiri Jaros

View

Download (PDF)

Tags: Algorithms, Computational Complexity, Computer science, CUDA, Genetic programming, Java, nVidia, nVidia GeForce GTX 480, Optimization

December 19, 2011 by hgpu

Parallel programming with inductive synthesis

Shaon Barman, Rastislav Bodik, Sagar Jain, Yewen Pu, Saurabh Srivastava, Nicholas Tung

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 260, Performance, Programming techniques

December 19, 2011 by hgpu

Real-Time Implementation of a Full Hyperspectral Unmixing Chain on Graphics Processing Units

Sergio Sanchez, Antonio Plaza

View

Download (PDF)

Tags: Algorithms, CUDA, Image processing, nVidia, Tesla C1060

December 18, 2011 by hgpu

Efficient data structures for piecewise-smooth video processing

Jiawen Chen

View

Download (PDF)

Tags: Algorithms, Image processing, nVidia, nVidia GeForce 6800 GT, nVidia GeForce 7800 GT, nVidia GeForce 8800 GTX, Thesis

December 18, 2011 by hgpu

Massively Parallel Logic Simulation with GPUs

Yuhao Zhu, Bo Wang, Yangdong Deng

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Electronic design automation, nVidia, nVidia GeForce GTX 280, Optimization, Performance

December 17, 2011 by hgpu

Extendable pattern-oriented optimization directives

Huimin Cui, Jingling Xue, Lei Wang, Yang Yang, Xiaobing Feng, Dongrui Fan

View

Download (PDF)

Tags: Algorithms, Code generation, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Optimization

December 17, 2011 by hgpu

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

Iris: AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming

Iris: First-Class Multi-GPU Programming Experience in Triton

HipKittens: Fast and Furious AMD Kernels

Fortran xDSL dialects

An MLIR pipeline for offloading Fortran to FPGAs via OpenMP

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Parallel Contour-Buildup Algorithm for the Molecular Surface

Parsing in Parallel on Multiple Cores and GPUs

Floating-point Mixed-radix FFT Core Generation for FPGA and Comparison with GPU and CPU

Fast Random Graph Generation

Optimization of mapped functions sequences using fusions on GPU

GPU-based Implementation of the Variational Path Integral Method

Acceleration of grammatical evolution using graphics processing units: computational intelligence on consumer games and graphics hardware

Parallel programming with inductive synthesis

Real-Time Implementation of a Full Hyperspectral Unmixing Chain on Graphics Processing Units

Efficient data structures for piecewise-smooth video processing

Massively Parallel Logic Simulation with GPUs

Extendable pattern-oriented optimization directives

Recent source codes

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

Iris: AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming

HipKittens: Fast and Furious AMD Kernels

Fortran xDSL dialects

Most viewed papers (last 30 days)