paper | Page 514 | hgpu.org

Applications

hgpu.org » paper

Graphics Processing Unit Acceleration of the Explicit Solution of the Time Domain Volume Integral Equation Using OpenACC

Ahmed Al-Jarro, Alain Clo, Hakan Bagci

View

Download (PDF)

Tags: Electrodynamics, Integral equations, Mathematics, OpenACC

March 29, 2013 by hgpu

Parallel Simulation of Population Balance Model-Based Particulate Processes Using Multicore CPUs and GPUs

Anuj V. Prakash, Anwesha Chaudhury, Rohit Ramachandran

View

Download (PDF)

Tags: CAD, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Pharmaceuticals

March 29, 2013 by hgpu

Accelerating Graph Analysis with Heterogeneous Systems

Ate Penders

View

Download (PDF)

Tags: Algorithms, Computer science, Graph theory, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, OpenCL, Tesla C2050, Thesis

March 29, 2013 by hgpu

Adaptive OpenCL (ACL) Execution in GPU Architectures

Dan Connors, Kyle Dunn, Jeff Wiencrot

View

Download (PDF)

Tags: Algorithms, Computer science, DSP, Heterogeneous systems, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, OpenCL

March 26, 2013 by hgpu

Parallel Sorting on the Heterogeneous AMD Fusion Accelerated Processing Unit

Michael Christopher Delorme

View

Download (PDF)

Tags: APU, ATI, ATI Radeon HD 5870, ATI Radeon HD 6530, ATI Radeon HD 6550, Computer science, Heterogeneous systems, nVidia, OpenCL, Sorting, Thesis, Tutorial

March 26, 2013 by hgpu

Accelerated Dictionary Learning with GPU/Multicore CPU and Its Application to Music Classification

Boyang Gao, Emmanuel Dellandrea, Liming Chen

View

Download (PDF)

Tags: Clustering, CUBLAS, CUDA, Linear Algebra, Matrix multiplication, nVidia, nVidia GeForce GTX 285, Signal processing

March 26, 2013 by hgpu

General Purpose Computation on Graphics Processing Units Using OpenCL

Fiaz Gul Khan

View

Download (PDF)

Tags: Computer science, Electrodynamics, FFT, Heterogeneous systems, nVidia, nVidia GeForce GTX 260, nVidia Quadro FX 6000, OpenCL, Sorting, Thesis, Tutorial

March 26, 2013 by hgpu

Improving Performance Portability in OpenCL Programs

Yao Zhang, Mark Sinclair II, Andrew A. Chien

View

Download (PDF)

Tags: APU, ATI, Benchmarking, Computer science, FFT, nVidia, OpenCL, Tesla C2050

March 26, 2013 by hgpu

Creating Optimal Code for GPU-Accelerated CT Reconstruction Using Ant Colony Optimization

Eric Papenhausen, Ziyi Zheng, Klaus Mueller

View

Download (PDF)

Tags: Algorithms, Computed tomography, CT, CUDA, Image processing, Image reconstruction, nVidia, nVidia GeForce GTX 480, Optimization

March 26, 2013 by hgpu

A Region Growing Segmentation Algorithm for GPUs

Patrick Nigri Happ, Raul Queiroz Feitosa, Cristiana Bentes, Ricardo Farias

View

Download (PDF)

Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce 9600 GT, nVidia GeForce GTX 480

March 26, 2013 by hgpu

An application of graphical numerical accelerators in simulations of ion-transport through biological membranes

A. Gorecki

View

Download (PDF)

Tags: Chemistry, CUDA, Differential equations, Electrochemistry, nVidia, ODEs, Ordinary differential equations, Tesla C870

March 26, 2013 by hgpu

Experimental Fault-Tolerant Synchronization for Reliable Computation on Graphics Processors

Tor-Magne Stien Hagen, Phuong Hoai Ha, Otto J. Anshus

View

Download (PDF)

Tags: Computer science, CUDA, Fault tolerance, nVidia, nVidia GeForce 8800 GTS

March 26, 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

Graphics Processing Unit Acceleration of the Explicit Solution of the Time Domain Volume Integral Equation Using OpenACC

Parallel Simulation of Population Balance Model-Based Particulate Processes Using Multicore CPUs and GPUs

Accelerating Graph Analysis with Heterogeneous Systems

Adaptive OpenCL (ACL) Execution in GPU Architectures

Parallel Sorting on the Heterogeneous AMD Fusion Accelerated Processing Unit

Accelerated Dictionary Learning with GPU/Multicore CPU and Its Application to Music Classification

General Purpose Computation on Graphics Processing Units Using OpenCL

Improving Performance Portability in OpenCL Programs

Creating Optimal Code for GPU-Accelerated CT Reconstruction Using Ant Colony Optimization

A Region Growing Segmentation Algorithm for GPUs

An application of graphical numerical accelerators in simulations of ion-transport through biological membranes

Experimental Fault-Tolerant Synchronization for Reliable Computation on Graphics Processors

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)