OpenCL | Page 98 | hgpu.org

hgpu.org » OpenCL

OpenCL Based High-Quality HEVC Motion Estimation on GPU

Fan Wang, Dajiang Zhou, Satoshi Goto

View

Download (PDF)

Tags: AMD Radeon R9 290, ATI, Compression, H.265, Image processing, OpenCL

December 3, 2014 by hgpu

Parallelization of a novel frequent itemset hiding algorithm on a CPU-GPU platform

Samuel Bacha Heye

View

Download (PDF)

Tags: Algorithms, Computer science, Data mining, nVidia, nVidia GeForce GT 635 M, OpenCL, Thesis

December 3, 2014 by hgpu

An Open-Source GPU-Accelerated Feature Extraction Tool

Josef Michalek, Jan Vanek

View

Download (PDF)

Tags: Computer science, CUDA, Machine learning, nVidia, nVidia GeForce GTX 660, OpenCL, Speech recognition

December 1, 2014 by hgpu

GPU Declarative Framework

Robert W. Senser, Jr.

View

Download (PDF)

Tags: AMD Radeon R9 270, ATI, Code generation, Computer science, Filtering, Image processing, Matrix inversion, nVidia, OpenCL, Sorting, Tesla S2050, Tesla T20, Thesis

December 1, 2014 by hgpu

Application Synthesis and Optimization on Heterogeneous Parallel Processing Systems

Chih-Sheng Lin

View

Download (PDF)

Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTS 250, nVidia GeForce GTX 690, OpenCL, Task scheduling, Tesla C2050, Thesis

December 1, 2014 by hgpu

Performance Analysis of a High-level Abstractions-based Hydrocode on Future Computing Systems

G.R. Mudalige, I.Z. Reguly, M.B. Giles, A.C. Mallinson, W.P. Gaudin, J.A. Herdman

View

Download (PDF)

Tags: Code generation, Computer science, CUDA, GPU cluster, MPI, nVidia, OpenACC, OpenCL, Tesla K20

December 1, 2014 by hgpu

A Framework for Composing High-Performance OpenCL from Python Descriptions

Michael Anderson

View

Download (PDF)

Tags: Computer science, Computer vision, nVidia, nVidia GeForce GTX 480, OpenCL, Optical flow, Python, Thesis

November 29, 2014 by hgpu

Code Generation Compiler for the OpenMP 4.0 Accelerator Model onto OMPSS

Guray Ozen

View

Download (PDF)

Tags: Code generation, Computer science, CUDA, nVidia, OpenCL, Tesla M2090, Thesis

November 29, 2014 by hgpu

Runtime Comparison of CPU and GPU Using Portable Programming Models

Franz Wiesinger, Florian Nairz, Michael Bogner

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 680, OpenCL, Sorting

November 29, 2014 by hgpu

Parallel kNN on GPU Architecture Using OpenCL

V.B.Nikam, B.B.Meshram

View

Download (PDF)

Tags: Algorithms, Computer science, Data mining, OpenCL

November 29, 2014 by hgpu

A Self-Optimizing Framework for Developing Metrology Software on Massive Parallel Processor Architectures

T. Beier

View

Download (PDF)

Tags: Algorithms, ATI, ATI Radeon HD 7750, Computer science, nVidia, nVidia GeForce GTX 480, OpenCL, Performance

November 25, 2014 by hgpu

Anisotropic interfacial tension, contact angles, and line tensions: A graphics-processing-unit-based Monte Carlo study of the Ising model

Benjamin J. Block, Suam Kim, Peter Virnau, Kurt Binder

View

Download (PDF)

Tags: Computational Physics, CUDA, Ising model, nVidia, OpenCL, Physics

November 25, 2014 by hgpu

CFAL-bench

Comparing Parallel Functional Array Languages: Programming and Performance

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

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

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

OpenCL Based High-Quality HEVC Motion Estimation on GPU

Parallelization of a novel frequent itemset hiding algorithm on a CPU-GPU platform

An Open-Source GPU-Accelerated Feature Extraction Tool

GPU Declarative Framework

Application Synthesis and Optimization on Heterogeneous Parallel Processing Systems

Performance Analysis of a High-level Abstractions-based Hydrocode on Future Computing Systems

A Framework for Composing High-Performance OpenCL from Python Descriptions

Code Generation Compiler for the OpenMP 4.0 Accelerator Model onto OMPSS

Runtime Comparison of CPU and GPU Using Portable Programming Models

Parallel kNN on GPU Architecture Using OpenCL

A Self-Optimizing Framework for Developing Metrology Software on Massive Parallel Processor Architectures

Anisotropic interfacial tension, contact angles, and line tensions: A graphics-processing-unit-based Monte Carlo study of the Ising model

Recent source codes

CFAL-bench

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

PELSI: Power-Efficient Layer-Switched Inference

Ouroboros: Virtualized Queues for dynamic memory management

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

Most viewed papers (last 30 days)