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Preemptive Thread Block Scheduling with Online Structural Runtime Prediction for Concurrent GPGPU Kernels

Sreepathi Pai, R. Govindarajan, Matthew J. Thazhuthaveetil

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Tags: Computer science, CUDA, nVidia, Operating systems, Performance, Tesla K20

June 25, 2014 by hgpu

GPU-driven Parallel Processing for Realtime Creation of Tree Animation

Sang-Min Song, Young-Min Kang, Kang-Hyuk Lee, Soo-Yol Ok

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Real-time graphics

June 24, 2014 by hgpu

GPU-based ray-casting of non-rigid deformations: a comparison between direct and indirect approaches

F. M. M. Marreiros, O. Smedby

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Tags: 3D Graphics and Realism, Computed tomography, Computer science, CT, CUDA, nVidia, nVidia GeForce GTX 680, Rendering

June 23, 2014 by hgpu

Using JavaScript and WebCL for Numerical Computations: A Comparative Study of Native and Web Technologies

Faiz Khan, Vincent Foley-Bourgon, Sujay Kathrotia, Erick Lavoie, Laurie Hendren

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Tags: ATI, ATI Radeon HD 7970, Benchmarking, Computer science, Java, nVidia, OpenCL, Package, Tesla C2050

June 23, 2014 by hgpu

Feature Generation for Quantification of Visual Similarity

Tianning Steven Han

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Tags: Algorithms, Computer science, Computer vision, CUDA, Machine learning, Neural networks, nVidia, nVidia GeForce GTX 480, Tesla K20, Thesis

June 23, 2014 by hgpu

Accelerating Band Linear Algebra Operations on GPUs with Application in Model Reduction

Peter Benner, Ernesto Dufrechou, Pablo Ezzatti, Pablo Igounet, Enrique S. Quintana-Orti, Alfredo Remon

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Tags: Computer science, CUDA, Factorization, Linear Algebra, nVidia, Sparse matrix, Tesla S2070

June 23, 2014 by hgpu

Efficient GPU-based Training of Recurrent Neural Network Language Models Using Spliced Sentence Bunch

X. Chen, Y. Wang, X. Liu, M.J.F. Gales, P. C. Woodland

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Tags: Computer science, CUDA, Neural networks, nVidia, nVidia GeForce GTX Titan, Speech recognition

June 23, 2014 by hgpu

An efficient parallel algorithm for accelerating computational protein design

Yichao Zhou, Wei Xu, Bruce R. Donald, Jianyang Zeng

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Tags: Algorithms, Bioinformatics, Biology, CUDA, Java, nVidia, Package, Tesla K20

June 23, 2014 by hgpu

A Scala Prototype to Generate Multigrid Solver Implementations for Different Problems and Target Multi-Core Platforms

Harald Koestler, Christian Schmitt, Sebastian Kuckuk, Frank Hannig, Juergen Teich, Ulrich Ruede

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Tags: Algorithms, Computer science, CUDA, Differential equations, Mathematical Software, nVidia, nVidia GeForce GTX 680, Partial differential equations, PDEs

June 23, 2014 by hgpu

Coupled Vlasov and two-fluid codes on GPUs

M. Rieke, T. Trost, R. Grauer

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Tags: Computational Physics, CUDA, Maxwell's equations, nVidia, Physics, Plasma physics

June 23, 2014 by hgpu

The Power-Performance Tradeoffs of the Intel Xeon Phi on HPC Applications

Bo Li, Hung-Ching Chang, Shuaiwen Leon Song, Chun-Yi Su, Timmy Meyer, John Mooring, Kirk Cameron

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Tags: Computer science, Energy-efficient computing, Intel Xeon Phi, nVidia, Performance, Tesla C2050

June 22, 2014 by hgpu

The Fast and Wideband MoM Based on GPU and Two-Path AFS Acceleration

Lan Li, Jundong Tan, Zhuo Su, Yunliang Lon

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Tags: CUDA, Integral equations, nVidia, Signal processing, Tesla C2075

June 22, 2014 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

Preemptive Thread Block Scheduling with Online Structural Runtime Prediction for Concurrent GPGPU Kernels

GPU-driven Parallel Processing for Realtime Creation of Tree Animation

GPU-based ray-casting of non-rigid deformations: a comparison between direct and indirect approaches

Using JavaScript and WebCL for Numerical Computations: A Comparative Study of Native and Web Technologies

Feature Generation for Quantification of Visual Similarity

Accelerating Band Linear Algebra Operations on GPUs with Application in Model Reduction

Efficient GPU-based Training of Recurrent Neural Network Language Models Using Spliced Sentence Bunch

An efficient parallel algorithm for accelerating computational protein design

A Scala Prototype to Generate Multigrid Solver Implementations for Different Problems and Target Multi-Core Platforms

Coupled Vlasov and two-fluid codes on GPUs

The Power-Performance Tradeoffs of the Intel Xeon Phi on HPC Applications

The Fast and Wideband MoM Based on GPU and Two-Path AFS Acceleration

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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