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An Empirical Performance Evaluation of GPU-Enabled Graph-Processing Systems

Yong Guo, Ana Lucia Varbanescu, Alexandru Iosup, Dick Epema

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Performance, Tesla K20

March 8, 2015 by hgpu

HPerf: A Lightweight Profiler for Task Distribution on CPU+GPU Platforms

Joo Hwan Lee, Nimit Nigania, Hyesoon Kim, Bevin Brett

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Tags: Computer science, Heterogeneous systems, nVidia, nVidia Quadro 2000, OpenCL, Performance

March 8, 2015 by hgpu

Generating Performance Portable Code using Rewrite Rules: From High-level Functional Expressions to High-Performance OpenCL Code

Michel Steuwer, Christian Fensch, Sam Lindley, Christophe Dubach

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Tags: ATI, ATI Radeon HD 7970, Code generation, Compilers, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, OpenCL

March 8, 2015 by hgpu

Lyra2: Password Hashing Scheme with improved security against time-memory trade-offs

Marcos A. Simplicio Jr., Leonardo C. Almeida, Ewerton R. Andrade, Paulo C. F. dos Santos, and Paulo S. L. M. Barreto

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Tags: Algorithms, Computer science, CUDA, Hashing, nVidia, nVidia GeForce GTX Titan, Security

March 6, 2015 by hgpu

Adaptive Video Encoding Based on OpenCL Face Recognition

Jiarui Lei, Wei Miao, Fengwen Song, Yuanlang Song, Jingyuan Sun

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Tags: Algorithms, Computer vision, Image processing, OpenCL, Video encoding

March 3, 2015 by hgpu

Counting Triangles in Large Graphs on GPU

Adam Polak

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Tags: Clustering, Computer science, CUDA, Graph theory, MapReduce, nVidia, Package, Tesla C2050

March 3, 2015 by hgpu

GPU Based Path Integral Control with Learned Dynamics

Grady Williams, Eric Rombokas, Tom Daniel

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Tags: Computer science, CUDA, Machine learning, nVidia, nVidia GeForce GTX 780 Ti, Robotics

March 3, 2015 by hgpu

Iris Matching Algorithm on Many-Core Platforms

Chen Liu, Benjamin Petroski, Guthrie Cordone, Gildo Torres, Stephanie Schuckers

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Tags: Algorithms, Biometrics, Computer science, Computer vision, CUDA, Intel Xeon Phi, nVidia, nVidia GeForce GTS 450

March 2, 2015 by hgpu

Model-driven optimisation of memory hierarchy and multithreading on GPUs

Andrew A. Haigh, Eric C. McCreath

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Tags: Computer science, CUDA, Memory, nVidia, nVidia GeForce GTX 580, Tesla K20

March 2, 2015 by hgpu

Runtime Compilation of Array-Oriented Python Programs

Alex Rubinsteyn

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Python, Thesis

March 2, 2015 by hgpu

Evaluating Performance Portability of OpenACC

Amit Sabne, Putt Sakdhnagool, Seyong Lee, Jeffrey S. Vetter

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Tags: ATI, ATI Radeon HD 7970, Computer science, CUDA, Heterogeneous systems, Intel Xeon Phi, nVidia, nVidia GeForce GTX 680, OpenACC

March 2, 2015 by hgpu

MILJS: Brand New JavaScript Libraries for Matrix Calculation and Machine Learning

Ken Miura, Tetsuaki Mano, Atsushi Kanehira, Yuichiro Tsuchiya, Tatsuya Harada

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Tags: Computer science, Java, Machine learning, Mathematical Software, OpenCL, Package, Python

March 2, 2015 by hgpu

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

A Performance Portable Matrix Free Dense MTTKRP in GenTen

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

Accelerating cosmological simulations on GPUs: a portable approach using OpenMP

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

ConCuR: Conciseness Makes State-of-the-Art Kernel Generation

VibeCodeHPC - Multi Agentic Vibe Coding for HPC

VibeCodeHPC: An Agent-Based Iterative Prompting Auto-Tuner for HPC Code Generation Using LLMs

Compile-Time Resource Safety for GPU APIs: A Low-Overhead Typestate Framework

exa-AMD: Exascale Accelerated Materials Discovery

exa-AMD: An Exascale-Ready Framework for Accelerating the Discovery and Design of Functional Materials

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

An Empirical Performance Evaluation of GPU-Enabled Graph-Processing Systems

HPerf: A Lightweight Profiler for Task Distribution on CPU+GPU Platforms

Generating Performance Portable Code using Rewrite Rules: From High-level Functional Expressions to High-Performance OpenCL Code

Lyra2: Password Hashing Scheme with improved security against time-memory trade-offs

Adaptive Video Encoding Based on OpenCL Face Recognition

Counting Triangles in Large Graphs on GPU

GPU Based Path Integral Control with Learned Dynamics

Iris Matching Algorithm on Many-Core Platforms

Model-driven optimisation of memory hierarchy and multithreading on GPUs

Runtime Compilation of Array-Oriented Python Programs

Evaluating Performance Portability of OpenACC

MILJS: Brand New JavaScript Libraries for Matrix Calculation and Machine Learning

Recent source codes

Kernel Library for LLM Serving

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

VibeCodeHPC - Multi Agentic Vibe Coding for HPC

Compile-Time Resource Safety for GPU APIs: A Low-Overhead Typestate Framework

exa-AMD: Exascale Accelerated Materials Discovery

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