high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Computer science

Batched Kronecker product for 2-D matrices and 3-D arrays on NVIDIA GPUs

Chetan Jhurani

View

Download (PDF)

Tags: BLAS, CUBLAS, CUDA, Kronecker product, nVidia, Tesla K20

April 10, 2013 by chetan.jhurani

Modeling of High Performance Programs to Support Heterogeneous Computing

Ferosh Jacob

View

Download (PDF)

Tags: Computer science, CUDA, Heterogeneous systems, MapReduce, nVidia, OpenCL, Software Engineering, Tesla M2070, Thesis

April 9, 2013 by hgpu

OpenCL Fast Fourier Transform

Ruobing Li

View

Download (PDF)

Source codes

Tags: Computer science, FFT, nVidia, OpenCL, Package, Tesla M2070

April 9, 2013 by hgpu

A GEMM interface and implementation on NVIDIA GPUs for multiple small matrices

Chetan Jhurani, Paul Mullowney

View

Download (PDF)

Tags: BLAS, CUBLAS, CUDA, Dense linear algebra, GEMM, Linear Algebra, nVidia, Parallel programming, Tesla K20

April 9, 2013 by chetan.jhurani

pVOCL: Power-Aware Dynamic Placement and Migration in Virtualized GPU Environments

Palden Lama, Yan Li, Ashwin M. Aji, Pavan Balaji, James Dinan, Shucai Xiao, Yunquan Zhang, Wu-chun Feng, Rajeev Thakur, Xiaobo Zhou

View

Download (PDF)

Tags: Computer science, Energy-efficient computing, nVidia, OpenCL, Tesla C1060, Virtualization

April 8, 2013 by hgpu

A Hardware Multithreaded SpMV Kernel for the Convey HC-2ex

Robert Halstead, Walid Najjar

View

Download (PDF)

Tags: Computer science, CUDA, FPGA, nVidia, nVidia GeForce GTX 280, Sparse matrix

April 8, 2013 by hgpu

Load Balancing in a Changing World: Dealing with Heterogeneity and Performance Variability

Michael Boyer, Kevin Skadron, Shuai Che, Nuwan Jayasena

View

Download (PDF)

Tags: ATI, ATI Radeon HD 6550, ATI Radeon HD 6670, Computer science, Heterogeneous systems, OpenCL, Performance, Task scheduling

April 8, 2013 by hgpu

Highly Scalable Multiplication for Distributed Sparse Multivariate Polynomials on Many-core Systems

Mickael Gastineau, Jacques Laskar

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Instrumentation and Methods for Astrophysics, Mathematical Software, nVidia, Symbolic Computation, Tesla S2050

April 8, 2013 by hgpu

Atomic-free Irregular Computations on GPUs

Rupesh Nasre, Martin Burtscher, Keshav Pingali

View

Download (PDF)

Source codes

Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, Package, Performance, Tesla K20

April 7, 2013 by hgpu

Speed up Large Integer Multiplication Using Fourier Transforms and CUDA Technology

Hovhannes Bantikyan

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, FFT, nVidia, Security, Tesla

April 7, 2013 by hgpu

Optimizing Sparse Matrix-Matrix Multiplication for the GPU

Steven Dalton, Nathan Bell, Luke N. Olson

View

Download (PDF)

Tags: Computer science, CUDA, Matrix multiplication, nVidia, Sorting, Sparse matrix, Tesla C2075

April 7, 2013 by hgpu

OpenCL C++

Benedict R. Gaster, Lee Howes

View

Download (PDF)

Tags: Computer science, Heterogeneous systems, OpenCL

April 6, 2013 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

Applications

Batched Kronecker product for 2-D matrices and 3-D arrays on NVIDIA GPUs

Modeling of High Performance Programs to Support Heterogeneous Computing

OpenCL Fast Fourier Transform

A GEMM interface and implementation on NVIDIA GPUs for multiple small matrices

pVOCL: Power-Aware Dynamic Placement and Migration in Virtualized GPU Environments

A Hardware Multithreaded SpMV Kernel for the Convey HC-2ex

Load Balancing in a Changing World: Dealing with Heterogeneity and Performance Variability

Highly Scalable Multiplication for Distributed Sparse Multivariate Polynomials on Many-core Systems

Atomic-free Irregular Computations on GPUs

Speed up Large Integer Multiplication Using Fourier Transforms and CUDA Technology

Optimizing Sparse Matrix-Matrix Multiplication for the GPU

OpenCL C++

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)