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Automatic Code Generation for Stencil Computations on GPU Architectures

Justin Andrew Holewinski

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Tags: Code generation, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, OpenCL, Tesla C2050, Tesla K10, Thesis

January 4, 2013 by hgpu

Floating Point Arithmetic for Transport Triggered Architectures

Timo Tapani Viitanen

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Tags: Algorithms, Benchmarking, Computer science, FPGA, OpenCL, Thesis

December 30, 2012 by hgpu

Stereoscopic Ray Tracing on Graphics Processors

Alper Das

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 570, Raytracing, Rendering, Thesis

December 30, 2012 by hgpu

KFusion: Obtaining Modularity and Performance with Regards to General Purpose GPU Computing and Co-processors

Liam Kiemele

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Tags: Compilers, Computer science, nVidia, OpenCL, Package, Performance, Tesla C2075, Thesis

December 20, 2012 by hgpu

Accelerating Haskell Array Codes with Algorithmic Skeletons on GPUs

Sean Youngsung Lee

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Tags: Algorithms, Computer science, CUDA, nVidia, Tesla S1070, Thesis

December 18, 2012 by hgpu

Productive High Performance Parallel Programming with Auto-tuned Domain-Specific Embedded Languages

Shoaib Ashraf Kamil

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Performance, Programming techniques, Thesis

December 16, 2012 by hgpu

Performance study of using the Direct Compute API for implementing Support vector machines on GPUs

Karl Jansson

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Tags: Algorithms, Computer science, CUDA, Data mining, DirectX, nVidia, nVidia GeForce GTX 460, OpenCL, Package, Thesis

December 15, 2012 by hgpu

Scaling High Performance Domain-Specific Language Implementation with Delite

Hassan Chafi

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Tags: Computer science, CUDA, Heterogeneous systems, Machine learning, nVidia, nVidia GeForce GTX 275, Thesis

December 10, 2012 by hgpu

Hybrid computational voxelization using the graphics pipeline

Randall Rauwendaal

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Tags: Computer science, nVidia, nVidia GeForce GTX 480, OpenGL, Thesis, Voxelization

December 10, 2012 by hgpu

GPU accelerating the FEniCS Project

Fredrik Heffer Valdmanis

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Tags: Computer science, CUDA, Differential equations, Linear Algebra, nVidia, Partial differential equations, PDEs, Tesla C2070, Thesis

December 8, 2012 by hgpu

Lightweight Modular Staging and Embedded Compilers: Abstraction Without Regret for High-Level High-Performance Programming

Tiark Rompf

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Tags: Code generation, Compilers, Computer science, CUDA, Heterogeneous systems, nVidia, Performance, Software Engineering, Tesla C2050, Thesis

December 8, 2012 by hgpu

A Data-Parallel Graphics Pipeline Implemented in OpenCL

Joel Ek

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Tags: Computer science, Filtering, OpenCL, Rasterization, Rendering, Thesis

December 5, 2012 by hgpu

SIGMo: Scalable Isomorphism Graph Matching on GPUs

SIGMo: High-Throughput Batched Subgraph Isomorphism on GPUs for Molecular Matching

DGEMM without FP64 Arithmetic - using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

DGEMM without FP64 Arithmetic – using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

GEAK-agent: LLM-based AI agent, which can write correct and efficient GPU kernels automatically

Geak: Introducing Triton Kernel AI Agent & Evaluation Benchmarks

OpenDwarfs 2025: re-engineered version of the OpenDwarfs benchmark suite, for compatibility with modern platforms

OpenDwarfs 2025: Modernizing the OpenDwarfs Benchmark Suite for Heterogeneous Computing

Specx: Speculative task-based runtime system

Specx: a C++ task-based runtime system for heterogeneous distributed architectures

Mutual-Supervised Learning for Sequential-to-Parallel Code Translation

Hardware Compute Partitioning on NVIDIA GPUs for Composable Systems

KISim: Kubernetes Intelligent Scheduling Simulator

KIS-S: A GPU-Aware Kubernetes Inference Simulator with RL-Based Auto-Scaling

Efficient GPU Implementation of Multi-Precision Integer Division

ParEval: A Parallel Code Evaluation Benchmark

ParEval-Repo: A Benchmark Suite for Evaluating LLMs with Repository-level HPC Translation Tasks

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high performance computing on graphics processing units: hgpu.org

Theses

Automatic Code Generation for Stencil Computations on GPU Architectures

Floating Point Arithmetic for Transport Triggered Architectures

Stereoscopic Ray Tracing on Graphics Processors

KFusion: Obtaining Modularity and Performance with Regards to General Purpose GPU Computing and Co-processors

Accelerating Haskell Array Codes with Algorithmic Skeletons on GPUs

Productive High Performance Parallel Programming with Auto-tuned Domain-Specific Embedded Languages

Performance study of using the Direct Compute API for implementing Support vector machines on GPUs

Scaling High Performance Domain-Specific Language Implementation with Delite

Hybrid computational voxelization using the graphics pipeline

GPU accelerating the FEniCS Project

Lightweight Modular Staging and Embedded Compilers: Abstraction Without Regret for High-Level High-Performance Programming

A Data-Parallel Graphics Pipeline Implemented in OpenCL

Recent source codes

SIGMo: Scalable Isomorphism Graph Matching on GPUs

DGEMM without FP64 Arithmetic - using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

GEAK-agent: LLM-based AI agent, which can write correct and efficient GPU kernels automatically

OpenDwarfs 2025: re-engineered version of the OpenDwarfs benchmark suite, for compatibility with modern platforms

Specx: Speculative task-based runtime system

Mutual-Supervised Learning for Sequential-to-Parallel Code Translation

Hardware Compute Partitioning on NVIDIA GPUs for Composable Systems

KISim: Kubernetes Intelligent Scheduling Simulator

Efficient GPU Implementation of Multi-Precision Integer Division

ParEval: A Parallel Code Evaluation Benchmark

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