high performance computing on graphics processing units: hgpu.org

hgpu.org » Computer science

A General-Purpose GPU Reservoir Computer

Tureiti Keith

View

Download (PDF)

Tags: Computer science, CUDA, Neural networks, nVidia, nVidia GeForce GTX 480, Thesis

April 22, 2013 by hgpu

Programming Models and Runtimes for Heterogeneous Systems

Max Grossman

View

Download (PDF)

Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, Tesla C2050, Tesla M2050, Thesis

April 22, 2013 by hgpu

Connecting Architecture, Fitness, Optimizations and Performance using an Anisotropic Diffusion Filter

Sumedh Naik

View

Download (PDF)

Tags: ATI Radeon HD 5870, Computer science, CUDA, Filtering, Image processing, MPI, nVidia, OpenCL, Tesla C2050, Thesis

April 22, 2013 by hgpu

Valar: A Benchmark Suite to Study the Dynamic Behavior of Heterogeneous Systems

Perhaad Mistry, Yash Ukidave, Dana Schaa, David Kaeli

View

Download (PDF)

Tags: APU, ATI, ATI Radeon HD 7850, ATI Radeon HD 7970, Benchmarking, Computer science, Computer vision, Heterogeneous systems, OpenCL, Performance

April 22, 2013 by hgpu

Fast Makespan Estimation for GPU Threads on a Single Streaming Multiprocessor

Kostiantyn Berezovskyi, Konstantinos Bletsas, Stefan M. Petters

View

Download (PDF)

Tags: Computer science, CUDA, Metaheuristics, nVidia, nVidia GeForce GTX 680, PTX, Timing analysis

April 22, 2013 by hgpu

Use NVIDIA CUDA technology to create genetic algorithms with extensive population

Maciej Kolomycki

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce GT 540 M, nVidia GeForce GTX 460

April 22, 2013 by hgpu

GPGPU Based Non-photorealistic Rendering of Volume Data

Anca Morar, Florica Moldoveanu, Victor Asavei, Lucian Petrescu, Alin Moldoveanu, Alexandru Egner

View

Download (PDF)

Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GT 230 M, Rendering, Visualization

April 22, 2013 by hgpu

Parallel Sequential Monte Carlo for Efficient Density Combination: The Deco Matlab Toolbox

Roberto Casarin, Stefano Grassi, Francesco Ravazzolo, H. K. Van Dijk

View

Download (PDF)

Tags: Bayesian, Computer science, CUDA, nVidia, nVidia Quadro K 2000 M

April 21, 2013 by hgpu

One OpenCL to Rule Them All?

Romain Dolbeau, Francois Bodin, Guillaume Colin de Verdiere

View

Download (PDF)

Tags: ATI, ATI Radeon HD 7970, Computer science, Intel, Intel Phi, nVidia, OpenACC, OpenCL, Performance, Portability, Tesla K20

April 21, 2013 by hgpu

An Automatic Input-Sensitive Approach for Heterogeneous Task Partitioning

Klaus Kofler, Ivan Grasso, Biagio Cosenza, Thomas Fahringer

View

Download (PDF)

Tags: ATI, ATI Radeon HD 5870, Code generation, Compilers, Computer science, Heterogeneous systems, Machine learning, Neural networks, nVidia, nVidia GeForce GTX 480, OpenCL, Performance, Task scheduling

April 21, 2013 by hgpu

You Can Type, but You Can’t Hide: A Stealthy GPU-based Keylogger

Evangelos Ladakis, Lazaros Koromilas, Giorgos Vasiliadis, Michalis Polychronakis, Sotiris Ioannidis

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce GT 630, nVidia GeForce GTX 480, Security

April 19, 2013 by hgpu

Graphics processing unit (GPU) programming strategies and trends in GPU computing

Andre R. Brodtkorb, Trond R. Hagen, Martin L. Saetra

View

Download (PDF)

Tags: Computer science, Heterogeneous systems, Metaheuristics, Optimization, Overview, Programming techniques

April 19, 2013 by hgpu

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

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

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

A General-Purpose GPU Reservoir Computer

Programming Models and Runtimes for Heterogeneous Systems

Connecting Architecture, Fitness, Optimizations and Performance using an Anisotropic Diffusion Filter

Valar: A Benchmark Suite to Study the Dynamic Behavior of Heterogeneous Systems

Fast Makespan Estimation for GPU Threads on a Single Streaming Multiprocessor

Use NVIDIA CUDA technology to create genetic algorithms with extensive population

GPGPU Based Non-photorealistic Rendering of Volume Data

Parallel Sequential Monte Carlo for Efficient Density Combination: The Deco Matlab Toolbox

One OpenCL to Rule Them All?

An Automatic Input-Sensitive Approach for Heterogeneous Task Partitioning

You Can Type, but You Can’t Hide: A Stealthy GPU-based Keylogger

Graphics processing unit (GPU) programming strategies and trends in GPU computing

Recent source codes

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

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

Most viewed papers (last 30 days)