high performance computing on graphics processing units: hgpu.org

Siegfried Benkner, Sabri Pllana, Jesper Larsson Traff, Philippas Tsigas, Uwe Dolinsky, Cedric Augonnet, Beverly Bachmayer, Christoph Kessler, David Moloney, Vitaly Osipov

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Tags: Code generation, Computer science, Heterogeneous systems, Hybrid computing, nVidia, OpenCL, Tesla C1060

October 20, 2011 by hgpu

Explicit platform descriptions for heterogeneous many-core architectures

Martin Sandrieser, Siegfried Benkner and Sabri Pllana

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Tags: Code generation, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, OpenCL

October 20, 2011 by hgpu

UniCoder: Unified Visual-to-Code Generation via Symbolic Rewards and Reference-Guided Code Optimization

CuFuzz: An API-Knowledge-Graph Coverage-Driven Fuzzing Framework for CUDA Libraries

AutoPass: Evidence-Guided LLM Agents for Compiler Performance Tuning

KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels

CUDA Kernel Fusion Benchmarks

Analyzing the Impact of Kernel Fusion on GPU Tensor Operation Performance: A Systematic Performance Study

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

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high performance computing on graphics processing units: hgpu.org

Compilation for Heterogeneous Computing: Automating Analyses, Transformations and Decisions

Automatic transformation and optimization of applications on GPUs and GPU clusters

PATUS: A Code Generation and Auto-Tuning Framework For Parallel Stencil Computations

Transformation of Scientific Algorithms to Parallel Computing Code: Single GPU and MPI multi GPU Backends with Subdomain Support

Automatic CUDA Code Synthesis Framework for Multicore CPU and GPU architectures

Jit4OpenCL: a compiler from Python to OpenCL

Implementing Domain-Specific Languages for Heterogeneous Parallel Computing

Extending Scala with General Purpose GPU Programming

APTCC: Auto Parallelizing Translator From C To CUDA

Democratizing General Purpose GPU Programming through OpenCL and Scala

PEPPHER: Efficient and Productive Usage of Hybrid Computing Systems

Explicit platform descriptions for heterogeneous many-core architectures

Recent source codes

UniCoder: Unified Visual-to-Code Generation via Symbolic Rewards and Reference-Guided Code Optimization

CuFuzz: An API-Knowledge-Graph Coverage-Driven Fuzzing Framework for CUDA Libraries

AutoPass: Evidence-Guided LLM Agents for Compiler Performance Tuning

Probe-and-Refine Tuning of Repository Guidance for AI Coding Agents

CUDAnalyst (CUDA + Analyst)

CodegenBench

KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels

CUDA Kernel Fusion Benchmarks

IntelliKit: Agent-first tooling for AMD hardware

DITRON: Distributed Compiler based on Triton for Parallel Systems

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