OpenCL | Page 90 | hgpu.org

Programming

An Efficient, Automatic Approach to High Performance Heterogeneous Computing

Gordon Inggs, David B. Thomas, Wayne Luk

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Tags: AMD FirePro W5000, ATI, Computational finance, Computer science, Finance, FPGA, Heterogeneous systems, Intel Xeon Phi, nVidia, nVidia Grid K2, nVidia Quadro K4000, OpenCL, Option pricing, Performance

May 20, 2015 by hgpu

CHO: Towards a Benchmark Suite for OpenCL FPGA Accelerators

Geoffrey Ndu, Javier Navaridas, Mikel Lujan

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Tags: Benchmarking, Computer science, FPGA, OpenCL, Package, Performance

May 19, 2015 by hgpu

Efficient Resource Scheduling for Big Data Processing on Accelerator-based Heterogeneous Systems

Ayman Tarakji, David Hebbeker, Lyubomir Georgiev

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Tags: AMD FirePro S10000, AMD FirePro S7000, ATI, Computer science, Heterogeneous systems, Intel Xeon Phi, nVidia, OpenCL, Performance, Tesla C2050

May 16, 2015 by hgpu

Adaptive discrete cosine transform-based image compression method on a heterogeneous system platform using Open Computing Language

Nasser Alqudami, Shin-Dug Kim

Tags: Algorithms, Compression, Heterogeneous systems, Image processing, OpenCL

May 15, 2015 by hgpu

A Survey of CPU-GPU Heterogeneous Computing Techniques

Sparsh Mittal and Jeffrey S. Vetter

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Tags: APU, cpu, CPU-GPU heterogeneous computing, CUDA, load balancing, OpenCL, workload partitioning

May 13, 2015 by sparsh0mittal

GPU Ray-Traced Collision Detection: Fine Pipeline Reorganization

Francois Lehericey, Valerie Gouranton, Bruno Arnaldi

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Tags: Algorithms, ATI, ATI Radeon HD 7990, Collision detection, Computer science, OpenCL, Raytracing

May 10, 2015 by hgpu

SparkCL: A Unified Programming Framework for Accelerators on Heterogeneous Clusters

Oren Segal, Philip Colangelo, Nasibeh Nasiri, Zhuo Qian, Martin Margala

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Tags: Computer science, GPU cluster, Heterogeneous systems, Java, OpenCL, Package

May 7, 2015 by hgpu

Activity recognition from videos with parallel hypergraph matching on GPUs

Eric Lombardi, Christian Wolf, Oya Celiktutan, Bulent Sankur

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Tags: Algorithms, Computer science, Computer vision, nVidia, nVidia GeForce GTS 450, nVidia GeForce GTX 560, nVidia GeForce GTX 580, OpenCL

May 7, 2015 by hgpu

Fireflies: New software for interactively exploring dynamical systems using GPU computing

Robert Merrison-Hort

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Tags: Computer science, Differential equations, Mathematical Software, Mathematics, nVidia, nVidia GeForce GTX 460, ODEs, OpenCL, Ordinary differential equations, Package, Python

May 7, 2015 by hgpu

IPMACC: Translating OpenACC API to OpenCL

Ahmad Lashgar, Alireza Majidi, Amirali Baniasadi

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Tags: Code generation, Computer science, CUDA, nVidia, OpenACC, OpenCL, Package, Tesla K20

May 3, 2015 by hgpu

PyTransit: Fast and Easy Exoplanet Transit Modelling in Python

Hannu Parviainen

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Tags: Astrophysics, Earth and Planetary Astrophysics, OpenCL, Package, Python

May 3, 2015 by hgpu

Speculative Segmented Sum for Sparse Matrix-Vector Multiplication on Heterogeneous Processors

Weifeng Liu, Brian Vinter

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Tags: ATI, Computer science, CUDA, Intel HD 5500, Mathematical Software, Numerical Analysis, nVidia, nVidia Jetson TK1, OpenCL, Package, Sparse matrix

April 27, 2015 by hgpu

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

DVM: Real-Time Kernel Generation for Dynamic AI Models

Agentic Code Optimization via Compiler-LLM Cooperation

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

AutoKernel: Autonomous GPU Kernel Optimization via Iterative Agent-Driven Search

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

LLM.Q: Quantized LLM training in pure CUDA/C++

LLMQ: Efficient Lower-Precision LLM Training for Consumer GPUs

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

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high performance computing on graphics processing units: hgpu.org

Programming

An Efficient, Automatic Approach to High Performance Heterogeneous Computing

CHO: Towards a Benchmark Suite for OpenCL FPGA Accelerators

Efficient Resource Scheduling for Big Data Processing on Accelerator-based Heterogeneous Systems

Adaptive discrete cosine transform-based image compression method on a heterogeneous system platform using Open Computing Language

A Survey of CPU-GPU Heterogeneous Computing Techniques

GPU Ray-Traced Collision Detection: Fine Pipeline Reorganization

SparkCL: A Unified Programming Framework for Accelerators on Heterogeneous Clusters

Activity recognition from videos with parallel hypergraph matching on GPUs

Fireflies: New software for interactively exploring dynamical systems using GPU computing

IPMACC: Translating OpenACC API to OpenCL

PyTransit: Fast and Easy Exoplanet Transit Modelling in Python

Speculative Segmented Sum for Sparse Matrix-Vector Multiplication on Heterogeneous Processors

Recent source codes

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

Agentic Code Optimization via Compiler-LLM Cooperation

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

LLM.Q: Quantized LLM training in pure CUDA/C++

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

True 4-Bit Quantized CNN Training on CPU

cuFuzz: A GPU-oriented coverage-guided fuzzer for userland CUDA application

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization

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