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Application of the OpenCL API for Implementation of the NIPALS Algorithm for Principal Component Analysis of Large Data Sets

Joshua C. Bowden

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Tags: BLAS, Computer science, GPU cluster, MPI, nVidia, nVidia Quadro FX 580, OpenCL, Performance, Tesla C1060, Tesla S2050, Tesla T10

March 31, 2011 by hgpu

The AES Implantation Based on OpenCL for Multi/many Core Architecture

Osvaldo Gervasi, Diego Russo, Flavio Vella

Tags: AES, Computer science, OpenCL, Security

March 31, 2011 by hgpu

Evaluation Framework for GPU Performance Based on OpenCL Standard

M. Jurecko, J. Kocisova, J. Busa, T. Kasanicky, M. Domiter, M. Zvada

Tags: ATI, Computer science, GPU cluster, nVidia, OpenCL, Performance

March 31, 2011 by hgpu

CUDACL: A tool for CUDA and OpenCL programmers

Ferosh Jacob, David Whittaker, Sagar Thapaliya, Purushotham Bangalore, Marjan Mernik, Jeff Gray

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Tags: Computer science, CUDA, High-level Languages, Java, nVidia, nVidia GeForce GTX 260, OpenCL

March 31, 2011 by hgpu

OpenCL – An effective programming model for data parallel computations at the Cell Broadband Engine

J. Breitbart, C. Fohry

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Tags: Cell processor, Computer science, CUDA, Memory model, nVidia, nVidia GeForce GTX 280, OpenCL

March 31, 2011 by hgpu

OpenCL and parallel primitives for digital TV applications

S. M. Cho, D. W. Im, O. Y. Jang, H. J. Song, B. D. Paulovicks, V. Sheinin, H. Yeo

Tags: Cell processor, Computer science, OpenCL

March 30, 2011 by hgpu

OpenCL: Make Ubiquitous Supercomputing Possible

Slo-Li Chu, Chih-Chieh Hsiao

Tags: Computer science, OpenCL, OpenMP

March 30, 2011 by hgpu

OpenCL-based design methodology for application-specific processors

Pekka O. Jaaskelainen, Carlos S. de La Lama, Pablo Huerta, Jarmo H. Takala

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Tags: AES, Computer science, FPGA, MPI, OpenCL, Security

March 30, 2011 by hgpu

Hybrid OpenCL over high speed networks

Ryo Aoki, Shuichi Oikawa, Ryoji Tsuchiyama, Takashi Nakamura

Tags: Computer science, Heterogeneous systems, OpenCL

March 30, 2011 by hgpu

Improving Hybrid OpenCL Performance by High Speed Networks

Ryo Aoki, Shuichi Oikawa, Ryoji Tsuchiyama, Takashi Nakamura

Tags: Computer science, Heterogeneous systems, OpenCL

March 30, 2011 by hgpu

Hybrid OpenCL: Connecting Different OpenCL Implementations over Network

Ryo Aoki, Shuichi Oikawa, Ryoji Tsuchiyama, Takashi Nakamura

Tags: Computer science, Heterogeneous systems, OpenCL

March 30, 2011 by hgpu

PyCUDA and PyOpenCL: A Scripting-Based Approach to GPU Run-Time Code Generation

Andreas Klockner, Nicolas Pinto, Yunsup Lee, Bryan Catanzaro, Paul Ivanov, Ahmed Fasih

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Tags: Code generation, Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce 8600 GT, nVidia GeForce 9400 M, nVidia GeForce GTX 295, nVidia GeForce GTX 480, OpenCL, Package, PyOpenCL, Python, Software Engineering, Tesla C1060

March 30, 2011 by hgpu

CL4SE: A Context Learning Benchmark For Software Engineering Tasks

CodeScaler: Scaling Code LLM Training and Test-Time Inference via Execution-Free Reward Models

A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5

DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels

KernelGYM & Dr. Kernel: A distributed GPU environment and a collection of RL training methods to support RL for Kernel Generations

Dr. Kernel: Reinforcement Learning Done Right for Triton Kernel Generations

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

Generating Literature-Driven Scientific Theories at Scale

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high performance computing on graphics processing units: hgpu.org

Application of the OpenCL API for Implementation of the NIPALS Algorithm for Principal Component Analysis of Large Data Sets

The AES Implantation Based on OpenCL for Multi/many Core Architecture

Evaluation Framework for GPU Performance Based on OpenCL Standard

CUDACL: A tool for CUDA and OpenCL programmers

OpenCL – An effective programming model for data parallel computations at the Cell Broadband Engine

OpenCL and parallel primitives for digital TV applications

OpenCL: Make Ubiquitous Supercomputing Possible

OpenCL-based design methodology for application-specific processors

Hybrid OpenCL over high speed networks

Improving Hybrid OpenCL Performance by High Speed Networks

Hybrid OpenCL: Connecting Different OpenCL Implementations over Network

PyCUDA and PyOpenCL: A Scripting-Based Approach to GPU Run-Time Code Generation

Recent source codes

CL4SE: A Context Learning Benchmark For Software Engineering Tasks

CodeScaler: Scaling Code LLM Training and Test-Time Inference via Execution-Free Reward Models

A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5

DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels

KernelGYM & Dr. Kernel: A distributed GPU environment and a collection of RL training methods to support RL for Kernel Generations

Vortex-Optimized Light-weight Toolchain (VOLT)

SciDef: Automated Definition Extraction from Scientific Literature

bioagent-bench: Benchmark for evaluating LLM agents in bioinformatics

Benchmark suite for LLM inference on NVIDIA consumer GPUs

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

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