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Optimizing the MapReduce Framework on Intel Xeon Phi Coprocessor

Mian Lu, Lei Zhang, Huynh Phung Huynh, Zhongliang Ong, Yun Liang, Bingsheng He, Rick Siow Mong Goh, Richard Huynh

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Tags: Benchmarking, Computer science, Intel Phi, MapReduce

September 4, 2013 by hgpu

Accelerating a Cloud-Based Software GNSS Receiver

Kamran Karimi, Aleks G. Pamir, M. Haris Afzal

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Tags: Cloud, Computer science, CUDA, nVidia, nVidia GeForce GTX 550 Ti, Performance

September 4, 2013 by hgpu

Accurate and Efficient Filtering using Anistropic Filter Decomposition

Cyril Soler, Mahdi M. Bagher, Derek Nowrouzezahrai

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Tags: CUDA, Filtering, Image processing, nVidia, nVidia GeForce GTX 670, Rendering

September 2, 2013 by hgpu

Oncilla: A GAS Runtime for Efficient Resource Allocation and Data Movement in Accelerated Clusters

Jeff Young, Se Hoon Shon, Sudhakar Yalamanchili, Alex Merritt, Karsten Schwan

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Tags: Computer science, CUDA, GPU cluster, Heterogeneous systems, nVidia, Package

September 2, 2013 by hgpu

Towards a functional run-time for dense NLA domain

Mauro Blanco, Pablo Perdomo, Pablo Ezzatti, Alberto Pardo, Marcos Viera

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Tags: Algorithms, BLAS, Computer science, CUDA, Factorization, Haskell, Linear Algebra, nVidia, nVidia GeForce GTX 570

September 2, 2013 by hgpu

A Stochastic-based Optimized Schwarz Method for the Gravimetry Equations on GPU Clusters

Abal-Kassim Cheik Ahamed, Frederic Magoules

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Tags: Algorithms, CUDA, Earth and Space Sciences, Geoscience, GPU cluster, nVidia, Tesla S1070

September 2, 2013 by hgpu

Implementation Details of GPU-based Out-of-Core Many-Lights Rendering

Rui Wang, Yuchi Huo, Yazhen Yuan, Kun Zhou, Wei Hua, Hujun Bao

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, Rendering

September 2, 2013 by hgpu

A Scalable, Efficient Scheme for Evaluation of Stencil Computations over Unstructured Meshes

James King, Robert M. Kirby

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Tesla M2090

August 31, 2013 by hgpu

Bitcoin and The Age of Bespoke Silicon

Michael Bedford Taylor

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Tags: ASIC, ATI, Finance, FPGA, nVidia, OpenCL, Performance, Review

August 31, 2013 by hgpu

Particle Swarm Optimization of Model Parameters: Simulation of Deep Reactive Ion Etching by the Continuous Cellular Automaton

Y. Li, Y. Xing, M. A. Gosalvez, Prem Pal, Y. Zhou

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 560, Particle swarm optimization

August 31, 2013 by hgpu

Computing High Resolution Explicit Corridor Maps using Parallel Technologies

R. Bonfiglioli

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

August 31, 2013 by hgpu

Accelerating Text Mining Workloads in a MapReduce-based Distributed GPU Environment

Peter Wittek, Sandor Daranyi

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Tags: Algorithms, Computer science, CUDA, MapReduce, nVidia, Package, Self-organizing map, Tesla M2050, Text mining

August 31, 2013 by hgpu

CL4SE: A Context Learning Benchmark For Software Engineering Tasks

CodeScaler: Scaling Code LLM Training and Test-Time Inference via Execution-Free Reward Models

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

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high performance computing on graphics processing units: hgpu.org

Applications

Optimizing the MapReduce Framework on Intel Xeon Phi Coprocessor

Accurate and Efficient Filtering using Anistropic Filter Decomposition

Oncilla: A GAS Runtime for Efficient Resource Allocation and Data Movement in Accelerated Clusters

Towards a functional run-time for dense NLA domain

A Stochastic-based Optimized Schwarz Method for the Gravimetry Equations on GPU Clusters

Implementation Details of GPU-based Out-of-Core Many-Lights Rendering

A Scalable, Efficient Scheme for Evaluation of Stencil Computations over Unstructured Meshes

Bitcoin and The Age of Bespoke Silicon

Particle Swarm Optimization of Model Parameters: Simulation of Deep Reactive Ion Etching by the Continuous Cellular Automaton

Computing High Resolution Explicit Corridor Maps using Parallel Technologies

Accelerating Text Mining Workloads in a MapReduce-based Distributed GPU Environment

Recent source codes

CL4SE: A Context Learning Benchmark For Software Engineering Tasks

CodeScaler: Scaling Code LLM Training and Test-Time Inference via Execution-Free Reward Models

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

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