high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Computer science

Accelerated Primality Testing Using GPUs

Duncan McBain

View

Download (PDF)

Tags: Computer science, CUDA, FFT, nVidia, nVidia GeForce GTX 570, Thesis

November 27, 2013 by hgpu

Autotuning of Pattern Runtimes for Accelerated Parallel Systems

Enes Bajrovic, Siegfried Benkner, Jiri Dokulil, Martin Sandrieser

View

Download (PDF)

Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Tesla C1060, Tesla C2050

November 27, 2013 by hgpu

Evaluating the Performance and Energy Efficiency of N-Body Codes on Multi-Core CPUs and GPUs

Ivan Zecena, Martin Burtscher, Tongdan Jin, Ziliang Zong

View

Download (PDF)

Tags: Computer science, CUDA, N-body simulation, nVidia, nVidia GeForce GTX 480, Performance

November 27, 2013 by hgpu

Regression Modelling of Power Consumption for Heterogeneous Processors

Tahir Diop

View

Download (PDF)

Tags: Benchmarking, Computer science, Energy-efficient computing, Heterogeneous systems, nVidia, OpenCL, Tesla M2090, Thesis

November 27, 2013 by hgpu

Efficient Multi-GPU Algorithm for All-Pairs Shortest Paths

Guillaume Chapuis, Hristo Djidjev, Rumen Andonov, Sunil Thulasidasan, Dominique Lavenier

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Electronic design automation, GPU cluster, nVidia, Path problems, Tesla C2090

November 26, 2013 by hgpu

Enabling OpenCL on a Configurable, VLIW Chip-Multiprocessor

Samuel J. Parker, Vassilios A. Chouliaras

View

Download (PDF)

Tags: CMP, Computer science, OpenCL

November 26, 2013 by hgpu

Evaluation and Improvement of GPU Ray Tracing with a Thread Migration Technique

Xingxing Zhu, Yangdong Deng

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 560 Ti, Rasterization, Raytracing, Rendering

November 26, 2013 by hgpu

Exploring GPGPU Acceleration of Process-Oriented Simulations

Frederick R.M. Barnes, Thomas Pressnell, Brendan Le Foll

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 590, Package, Programming Languages

November 26, 2013 by hgpu

Pseudo Random Number Generators on Graphics Processing Units, with Applications in Finance

Matthew Anker

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Finance, nVidia, Pseudo-random number generators, Tesla C2050, Thesis

November 25, 2013 by hgpu

Fast approximate k-nearest neighbours search using GPGPU

Niko Lukac, Borut Zalik

Tags: Computer science, CUDA, Hashing, Nearest neighbour, nVidia, Tesla C2050

November 24, 2013 by hgpu

A parallel search tree algorithm for vertex cover on graphical processing units

Rashad Karim Kabbara

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, nVidia GeForce GTX 560, Search, Thesis

November 24, 2013 by hgpu

Exploring Graphics Processing Unit (GPU) Resource Sharing Efficiency for High Performance Computing

Teng Li, Vikram K. Narayana, Tarek El-Ghazawi

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, Performance, Tesla C2070

November 24, 2013 by hgpu

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

A Performance Portable Matrix Free Dense MTTKRP in GenTen

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

Accelerating cosmological simulations on GPUs: a portable approach using OpenMP

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

ConCuR: Conciseness Makes State-of-the-Art Kernel Generation

VibeCodeHPC - Multi Agentic Vibe Coding for HPC

VibeCodeHPC: An Agent-Based Iterative Prompting Auto-Tuner for HPC Code Generation Using LLMs

Compile-Time Resource Safety for GPU APIs: A Low-Overhead Typestate Framework

exa-AMD: Exascale Accelerated Materials Discovery

exa-AMD: An Exascale-Ready Framework for Accelerating the Discovery and Design of Functional Materials

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Applications

Accelerated Primality Testing Using GPUs

Autotuning of Pattern Runtimes for Accelerated Parallel Systems

Evaluating the Performance and Energy Efficiency of N-Body Codes on Multi-Core CPUs and GPUs

Regression Modelling of Power Consumption for Heterogeneous Processors

Efficient Multi-GPU Algorithm for All-Pairs Shortest Paths

Enabling OpenCL on a Configurable, VLIW Chip-Multiprocessor

Evaluation and Improvement of GPU Ray Tracing with a Thread Migration Technique

Exploring GPGPU Acceleration of Process-Oriented Simulations

Pseudo Random Number Generators on Graphics Processing Units, with Applications in Finance

Fast approximate k-nearest neighbours search using GPGPU

A parallel search tree algorithm for vertex cover on graphical processing units

Exploring Graphics Processing Unit (GPU) Resource Sharing Efficiency for High Performance Computing

Recent source codes

Kernel Library for LLM Serving

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

VibeCodeHPC - Multi Agentic Vibe Coding for HPC

Compile-Time Resource Safety for GPU APIs: A Low-Overhead Typestate Framework

exa-AMD: Exascale Accelerated Materials Discovery

Most viewed papers (last 30 days)