OpenCL | Page 37 | hgpu.org

Programming

hgpu.org » Programming » OpenCL

QCDGPU: open-source package for Monte Carlo lattice simulations on OpenCL-compatible multi-GPU systems

Vadim Demchik, Natalia Kolomoyets

View

Download (PDF)

Source codes

Tags: ATI, ATI Radeon HD 5870, ATI Radeon HD 6970, ATI Radeon HD 7970, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, nVidia GeForce GTX 560 M, nVidia GeForce GTX 560 Ti, OpenCL, Package, Phase transition, Physics, Pseudo-random number generators, QCD

October 21, 2013 by hgpu

Energy Efficiency Studies of Mont Blanc Applications

Mads Holden

View

Download (PDF)

Source codes

Tags: ARM, Computer science, Energy-efficient computing, Matrix multiplication, OpenCL, Package, Thesis

October 21, 2013 by hgpu

A Parallel Intermediate Representation for Embedded Languages

Ivar Lang

View

Download (PDF)

Source codes

Tags: Computer science, Data parallelism, nVidia, OpenCL, Package, Tesla M2050, Thesis

October 10, 2013 by hgpu

Parametric GPU Code Generation for Affine Loop Programs

Athanasios Konstantinidis, Paul H. J. Kelly, J. Ramanujam, P. Sadayappan

View

Download (PDF)

Source codes

Tags: Code generation, Computer science, CUDA, nVidia, nVidia GeForce GT 540 M, nVidia GeForce GTX 580, OpenCL, Package, Tesla K20, Tesla M2070

October 5, 2013 by hgpu

Improving Resource Utilization in Heterogeneous CPU-GPU Systems

Michael Boyer

View

Download (PDF)

Source codes

Tags: Algorithms, ATI, ATI Radeon HD 5870, ATI Radeon HD 7970, Biology, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 280, OpenCL, Package, Software Engineering, Thesis

September 23, 2013 by hgpu

Sparse Matrix Algorithms Using GPGPU

Kaupo Kuresson

View

Download (PDF)

Source codes

Tags: Algorithms, ATI, ATI Radeon HD 5870, Computer science, nVidia, OpenCL, Package, Sparse matrix, Tesla S1070, Tesla T10, Thesis

September 18, 2013 by hgpu

Computing High Resolution Explicit Corridor Maps using Parallel Technologies

R. Bonfiglioli

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 680, OpenCL, Package, Path problems, Thesis

August 31, 2013 by hgpu

Estimating the WCET of GPU-Accelerated Applications using Hybrid Analysis

Adam Betts, Alastair Donaldson

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, GPGPU-sim, nVidia, OpenCL, Package, Python, Tesla C2050

August 26, 2013 by hgpu

OpenCL programming using Python syntax

Massimo Di Pierro

View

Download (PDF)

Source codes

Tags: Computer science, OpenCL, Package, PyOpenCL, Python

August 26, 2013 by hgpu

The Yin and Yang of Processing Data Warehousing Queries on GPU Devices

Yuan Yuan, Rubao Lee, Xiaodong Zhang

View

Download (PDF)

Source codes

Tags: Analytical model, ATI, ATI Radeon HD 7970, Computer science, CUDA, Databases, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580, nVidia GeForce GTX 680, OpenCL, Package

August 14, 2013 by hgpu

Barrier Invariants: A Shared State Abstraction for the Analysis of Data-Dependent GPU Kernels

Nathan Chong, Alastair F. Donaldson, Paul H.J. Kelly, Jeroen Ketema, Shaz Qadeer

View

Download (PDF)

Source codes

Tags: Algorithms, Computer science, CUDA, OpenCL, Package, Performance

August 13, 2013 by hgpu

GPGPU Implementation of a Generative Modelling Language

Martin Griffin, Aidan Delaney, Karina Rodriguez Echavarria

View

Download (PDF)

Source codes

Tags: Computer science, High-level Languages, OpenCL, Package

August 5, 2013 by hgpu

IntelliKit: Agent-first tooling for AMD hardware

Kerncap: Automated Kernel Extraction and Isolation for AMD GPUs

DITRON: Distributed Compiler based on Triton for Parallel Systems

DITRON: Distributed Multi-level Tiling Compiler for Parallel Tensor Programs

CuTile Benchmark Suite: Performance and Productivity Tradeoffs for GPU Kernel Programming on Blackwell Architecture

Evaluating CUDA Tile for AI Workloads on Hopper and Blackwell GPUs

Agentic Code Optimization via Compiler-LLM Cooperation

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

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

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Programming

QCDGPU: open-source package for Monte Carlo lattice simulations on OpenCL-compatible multi-GPU systems

Energy Efficiency Studies of Mont Blanc Applications

A Parallel Intermediate Representation for Embedded Languages

Parametric GPU Code Generation for Affine Loop Programs

Improving Resource Utilization in Heterogeneous CPU-GPU Systems

Sparse Matrix Algorithms Using GPGPU

Computing High Resolution Explicit Corridor Maps using Parallel Technologies

Estimating the WCET of GPU-Accelerated Applications using Hybrid Analysis

OpenCL programming using Python syntax

The Yin and Yang of Processing Data Warehousing Queries on GPU Devices

Barrier Invariants: A Shared State Abstraction for the Analysis of Data-Dependent GPU Kernels

GPGPU Implementation of a Generative Modelling Language

Recent source codes

IntelliKit: Agent-first tooling for AMD hardware

DITRON: Distributed Compiler based on Triton for Parallel Systems

CuTile Benchmark Suite: Performance and Productivity Tradeoffs for GPU Kernel Programming on Blackwell Architecture

Agentic Code Optimization via Compiler-LLM Cooperation

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

Device Virtual Machine (DVM)

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

Most viewed papers (last 30 days)