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An Energy Efficient GPGPU Memory Hierarchy with Tiny Incoherent Caches

Alamelu Sankaranarayanan, Ehsan K. Ardestani, Jose Luis Briz, Jose Renau

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Tags: Computer science, CUDA, Energy-efficient computing, GPGPU-sim, Memory, nVidia, OpenCL

June 24, 2013 by hgpu

Provably Efficient GPU Algorithms

Nodari Sitchinava, Volker Weichert

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Performance, Sorting

June 24, 2013 by hgpu

Non-Uniformly Partitioned Block Convolution on Graphics Processing Units

Maryam Sadreddini

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Tags: Algorithms, Computational Complexity, Computer science, nVidia, nVidia GeForce GTX 560 Ti, OpenCL, Thesis

June 23, 2013 by hgpu

GPU Implementation of the DP code

F. Sottile, C. Roedl, V. Slavnic, P. Jovanovic, D. Stankovic, P. Kestener, F. Houssen

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Tags: Computer science, CUBLAS, CUDA, nVidia, Tesla M2090

June 23, 2013 by hgpu

CUDA Enhanced Simulated Annealing for Chip Layout Problem

David Macurak, Jeffrey Raynor, Michael Sodomsky

Tags: Algorithms, Computer science, CUDA, nVidia, OpenGL, Tesla M2050

June 22, 2013 by hgpu

Exploring GPGPUs Workload Characteristics and Power Consumption

Sohan Lal, Jan Lucas, Mauricio Alvarez-Mesa, Ahmed Elhossini, Ben Juurlink

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Tags: Computer science, CUDA, Energy-efficient computing, GPGPU-sim, nVidia, nVidia GeForce GTX 580, Performance

June 22, 2013 by hgpu

Virtualization and Migration with GPGPUs

Mathias Gottschlag

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Tags: Cloud, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Thesis, Virtualization

June 22, 2013 by hgpu

Parallel Language Programming In Different Platforms

Pau Vila Fernández

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Tags: Computer science, CUDA, OpenACC, OpenCL, Programming Languages, Thesis

June 21, 2013 by hgpu

libCudaOptimize: an Open Source Library of GPU-based Metaheuristics

Youssef S.G. Nashed, Roberto Ugolotti, Pablo Mesejo, Stefano Cagnoni

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Tags: Artificial intelligence, Computer science, CUDA, Differential evolution, Evolutionary Computations, Metaheuristics, Neural and Evolutionary Computing, nVidia, nVidia GeForce GTS 450, Optimization, Package, Particle swarm optimization

June 21, 2013 by hgpu

Artificial Neural Network Simulation on CUDA

John Pendlebury, Huanhuan Xiong, Ray Walshe

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Tags: Computer science, CUDA, Neural networks, nVidia, nVidia GeForce GTX 480

June 21, 2013 by hgpu

On the Effect of Using Multiple GPUs in Solving QAPs with CUDA

Shigeyoshi Tsutsui, Noriyuki Fujimoto

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 480

June 21, 2013 by hgpu

Continuous Representation of Projected Attribute Spaces of Multifields over Any Spatial Sampling

Vladimir Molchanov, Alexey Fofonov, Lars Linsen

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Tags: Computer science, CUDA, Image generation, Numerical simulation, nVidia, nVidia GeForce GTX 480, Visualization

June 21, 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

See all packages

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high performance computing on graphics processing units: hgpu.org

An Energy Efficient GPGPU Memory Hierarchy with Tiny Incoherent Caches

Provably Efficient GPU Algorithms

Non-Uniformly Partitioned Block Convolution on Graphics Processing Units

GPU Implementation of the DP code

CUDA Enhanced Simulated Annealing for Chip Layout Problem

Exploring GPGPUs Workload Characteristics and Power Consumption

Parallel Language Programming In Different Platforms

libCudaOptimize: an Open Source Library of GPU-based Metaheuristics

Artificial Neural Network Simulation on CUDA

On the Effect of Using Multiple GPUs in Solving QAPs with CUDA

Continuous Representation of Projected Attribute Spaces of Multifields over Any Spatial Sampling

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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