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Performance Exploration of Selected Manually and Automatically Parallelized Codes on GPUs

Franz Xaver Bayerl

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Tags: Code generation, Computer science, CUBLAS, CUDA, Matrix multiplication, nVidia, nVidia GeForce 9800 GTX, nVidia GeForce GTX 560 Ti, Performance, Thesis

April 19, 2012 by hgpu

An innovative compilation tool-chain for embedded multi-core architectures

M. Torquati, M. Vanneschi, M. Amini, S. Guelton, R. Keryell, V. Lanore, F.-X. Pasquier, M. Barreteau, R. Barrere, T. Petrisor, E. Lenormand, C. Cantini, F. De Stefani

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Tags: Algorithms, Code generation, Computer science, CUDA, Filtering, nVidia, nVidia GeForce GTX 480, OpenCL, Tesla C2050

April 10, 2012 by hgpu

Fine-Grained Treatment to Synchronizations in GPU-to-CPU Translation

Ziyu Guo, Xipeng Shen

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Tags: Code generation, Compilers, Computer science, CUDA, nVidia

April 4, 2012 by hgpu

A computing origami: Optimized code generation for emerging parallel platforms

Hagiescu Miriste Andrei Mihai

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Tags: Code generation, Computer science, CUDA, FPGA, nVidia, nVidia GeForce 8800 GTX, Optimization, Tesla S1070, Thesis

March 29, 2012 by hgpu

Improving Performance of OpenCL on CPUs

Ralf Karrenberg, Sebastian Hack

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Tags: Code generation, Computer science, Data parallelism, OpenCL, Performance

March 27, 2012 by hgpu

OpenMPC: Extended OpenMP for Efficient Programming and Tuning on GPUs

Seyong Lee, Rudolf Eigenmann

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Tags: Code generation, Computer science, CUDA, nVidia, nVidia Quadro FX 5600, OpenMP, Performance, Programming techniques

March 26, 2012 by hgpu

Expressive Array Constructs in an Embedded GPU Kernel Programming Language

Koen Claessen, Mary Sheeran, Bo Joel Svensson

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Tags: Algorithms, Code generation, Computer science, CUDA, Data parallelism, nVidia, nVidia GeForce GTX 480, OpenCL, Package, Sorting

March 13, 2012 by hgpu

Scalable framework for mapping streaming applications onto multi-GPU systems

Huynh Phung Huynh, Andrei Hagiescu, Weng-Fai Wong, Rick Siow Mong Goh

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Tags: Algorithms, Code generation, Computer science, CUDA, GPU cluster, nVidia, Tesla C2070

March 8, 2012 by hgpu

Paragon: Collaborative Speculative Loop Execution on GPU and CPU

Mehrzad Samadi, Amir Hormati, Janghaeng Lee, Scott Mahlke

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Tags: Code generation, Compilers, Computer science, CUDA, nVidia, nVidia GeForce GTX 560, Optimization, Programming techniques

March 8, 2012 by hgpu

A Restructuring Algorithm for CUDA

M. A. Al-Mouhamed, A. H. Khan

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Tags: Algorithms, Code generation, Compilers, Computer science, CUDA, nVidia

February 29, 2012 by hgpu

An Energy Consumption Model for GPU Computing at Instruction Level

Haifeng Wang, Qingkui Chen

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Tags: Code generation, Computer science, Energy-efficient computing, nVidia, nVidia GeForce GTX 280, PTX

February 27, 2012 by hgpu

Introducing ‘Bones’: A Parallelizing Source-to-Source Compiler Based on Algorithmic Skeletons

Cedric Nugteren, Henk Corporaal

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Tags: Algorithms, ATI, ATI Radeon HD 5850, Code generation, Compilers, Computer science, CUDA, nVidia, nVidia GeForce GTX 470, OpenCL

February 20, 2012 by hgpu

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

Nsight Python: a Python kernel profiling interface based on NVIDIA Nsight Tools

Nsight Python: A Python-First Profiling Toolkit for Seamless GPU Kernel Analysis (Tool)

Awesome LLM-Driven Kernel Generation

Towards Automated Kernel Generation in the Era of LLMs

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high performance computing on graphics processing units: hgpu.org

Performance Exploration of Selected Manually and Automatically Parallelized Codes on GPUs

An innovative compilation tool-chain for embedded multi-core architectures

Fine-Grained Treatment to Synchronizations in GPU-to-CPU Translation

A computing origami: Optimized code generation for emerging parallel platforms

Improving Performance of OpenCL on CPUs

OpenMPC: Extended OpenMP for Efficient Programming and Tuning on GPUs

Expressive Array Constructs in an Embedded GPU Kernel Programming Language

Scalable framework for mapping streaming applications onto multi-GPU systems

Paragon: Collaborative Speculative Loop Execution on GPU and CPU

A Restructuring Algorithm for CUDA

An Energy Consumption Model for GPU Computing at Instruction Level

Introducing ‘Bones’: A Parallelizing Source-to-Source Compiler Based on Algorithmic Skeletons

Recent source codes

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

Nsight Python: a Python kernel profiling interface based on NVIDIA Nsight Tools

Awesome LLM-Driven Kernel Generation

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