OpenCL | Page 53 | hgpu.org

hgpu.org » OpenCL

eccCL: parallelized GPU implementation of Ensemble Classifier Chains

Mona Riemenschneider, Alexander Herbst, Ari Rasch, Sergei Gorlatch, Dominik Heider

View

Download (PDF)

Source codes

Tags: Biology, Computer science, Java, Next-Generation sequencing, nVidia, OpenCL, Package, R, Tesla K20

August 26, 2017 by hgpu

Simulating the Cardinal Movements of Childbirth Using Finite Element Analysis on the Graphics Processing Unit

Zelimkhan Gerikhanov

View

Download (PDF)

Tags: AMD Radeon HD 8970 M, ATI, Biology, Biomechanics, FEM, Finite element method, Medicine, MRI, OpenCL, Thesis

August 17, 2017 by hgpu

Accelerating digital forensic searching through GPGPU parallel processing techniques

Ethan Bayne

View

Download (PDF)

Tags: Computer science, nVidia, nVidia GeForce GTX 750 Ti, nVidia GeForce GTX 970 M, nVidia GeForce GTX 980, nVidia GeForce GTX 980 Ti, OpenCL, Thesis

August 14, 2017 by xhgpu

Directive-Based Partitioning and Pipelining for Graphical Processing Units

X. Cui, T. R. W. Scogland, B. R. de Supinski, W. Feng

View

Download (PDF)

Tags: ATI, ATI Radeon HD 7970, Computer science, CUDA, nVidia, OpenACC, OpenCL, OpenMP, Performance, Task scheduling, Tesla K40

August 1, 2017 by hgpu

On Simplifying and Optimizing Programs for Heterogeneous Computing Systems

Ivan Grasso

View

Download (PDF)

Tags: AMD FirePro S9000, ATI, ATI Radeon HD 5870, Compilers, Computer science, Heterogeneous systems, Intel Xeon Phi, nVidia, nVidia GeForce GTX 480, OpenCL, Performance, Tesla K20, Thesis

July 25, 2017 by hgpu

FUX-Sim: Implementation of a fast universal simulation/reconstruction framework for X-ray systems

Monica Abella, Estefania Serrano, Javier Garcia-Blas, Ines Garcia, Claudia de Molina, Jesus Carretero, Manuel Desco

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Image reconstruction, nVidia, OpenCL, Tesla K40

July 25, 2017 by hgpu

ParTeCL: parallel testing using OpenCL

Vanya Yaneva, Ajitha Rajan, Christophe Dubach

View

Download (PDF)

Source codes

Tags: Benchmarking, Compilers, Computer science, OpenCL, Package

July 25, 2017 by hgpu

OpenCL Library for Parallel Graph Search Algorithms

Christian Fischer

View

Download (PDF)

Tags: Algorithms, ATI, ATI Radeon HD 7970, Computer science, OpenCL, Path problems, Thesis

July 25, 2017 by hgpu

A Comparison of Support Vector Machines Training GPU-Accelerated Open Source Implementations

Jan Vanek, Josef Michalek, Josef Psutka

View

Download (PDF)

Source codes

Tags: Benchmarking, Computer science, CUDA, Machine learning, nVidia, nVidia GeForce GTX 1080, OpenCL, Package

July 22, 2017 by hgpu

GPU accelerated computation of Polarized Subsurface BRDF for Flat Particulate Layers

Charly Collin, Sumanta Pattanaik

View

Download (PDF)

Tags: Computer science, Differential equations, Graphics, nVidia, nVidia GeForce GTX 580, OpenCL, Rendering

July 22, 2017 by hgpu

Termination Analysis for GPU Kernels

Jeroen Ketema, Alastair F. Donaldson

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, LLVM, OpenCL, Package

July 19, 2017 by hgpu

Fine-Grain Acceleration of Graph Algorithms on a Heterogeneous Chip

Cagri Eryilmaz

View

Download (PDF)

Tags: Algorithms, APU, Computer science, Graph theory, Heterogeneous systems, OpenCL, Thesis

July 19, 2017 by hgpu

MSCCL++: A GPU-driven communication stack for scalable AI applications

MSCCL++: Rethinking GPU Communication Abstractions for Cutting-edge AI Applications

Benchmark compute shader of Unity against InteropUnityCUDA

InteropUnityCUDA: A Tool for Interoperability Between Unity and CUDA

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

DeepCompile: A Compiler-Driven Approach to Optimizing Distributed Deep Learning Training

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

GigaAPI for GPU Parallelization

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

Advances in Semantic Patching for HPC-oriented Refactorings with Coccinelle

* * *

high performance computing on graphics processing units: hgpu.org

eccCL: parallelized GPU implementation of Ensemble Classifier Chains

Simulating the Cardinal Movements of Childbirth Using Finite Element Analysis on the Graphics Processing Unit

Accelerating digital forensic searching through GPGPU parallel processing techniques

Directive-Based Partitioning and Pipelining for Graphical Processing Units

On Simplifying and Optimizing Programs for Heterogeneous Computing Systems

FUX-Sim: Implementation of a fast universal simulation/reconstruction framework for X-ray systems

ParTeCL: parallel testing using OpenCL

OpenCL Library for Parallel Graph Search Algorithms

A Comparison of Support Vector Machines Training GPU-Accelerated Open Source Implementations

GPU accelerated computation of Polarized Subsurface BRDF for Flat Particulate Layers

Termination Analysis for GPU Kernels

Fine-Grain Acceleration of Graph Algorithms on a Heterogeneous Chip

Recent source codes

MSCCL++: A GPU-driven communication stack for scalable AI applications

Benchmark compute shader of Unity against InteropUnityCUDA

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

DuoReduce: MLIR's benchmark

Shamrock: Multi-GPU hydrodynamics for astrophysics

LLMPerf: GPU Performance Modeling meets Large Language Models

Most viewed papers (last 30 days)