high performance computing on graphics processing units: hgpu.org

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Near Memory Similarity Search on Automata Processors

Vincent T. Lee, Justin Kotalik, Carlo C. Del Mundo, Armin Alaghi, Luis Ceze, Mark Oskin

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Tags: ARM, Computer science, CUDA, FPGA, Nearest neighbour, nVidia, nVidia GeForce GTX Titan X, nVidia Jetson TK1

August 16, 2016 by hgpu

A Comparison of Potential Interfaces for Batched BLAS Computations

Samuel D. Relton, Pedro Valero-Lara, Mawussi Zounon

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Tags: BLAS, Computer science, CUDA, Linear Algbera, nVidia, Package, Tesla K40

August 11, 2016 by hgpu

CaffePresso: An Optimized Library for Deep Learning on Embedded Accelerator-based platforms

Gopalakrishna Hegde, Siddhartha, Nachiappan Ramasamy, Nachiket Kapre

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Tags: Computer science, CUDA, Deep learning, DSP, FPGA, nVidia, nVidia Tegra TX1

August 11, 2016 by hgpu

Parallel LDPC Decoding on a Heterogeneous Platform using OpenCL

Jung-Hyun Hong, Joo-Yul Park, Ki-Seok Chung

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Tags: Computer science, Error recovery, Heterogeneous systems, nVidia, nVidia GeForce GTX 860 M, OpenCL

August 11, 2016 by hgpu

Accelerating Computational Finance Simulations with OpenCL

Michail Papadimitriou, Joris Cramwinckel, Ana Lucia Varbanescu

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Tags: Computational finance, Finance, Intel Xeon Phi, nVidia, nVidia GeForce GTX Titan, OpenCL, OpenMP, performance portability

August 8, 2016 by hgpu

Co-design of a particle-in-cell plasma simulation code for Intel Xeon Phi: a first look at Knights Landing

Igor Surmin, Sergey Bastrakov, Zakhar Matveev, Evgeny Efimenko, Arkady Gonoskov, Iosif Meyerov

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Tags: Computational Physics, Intel Xeon Phi, OpenMP, Particle-in-cell methods, Physics, Plasma physics

August 8, 2016 by hgpu

A Comprehensive Performance Analysis of HSA and OpenCL 2.0

Saoni Mukherjee, Yifan Sun, Paul Blinzer, Amir Kavyan Ziabari, David Kaeli

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Tags: Algorithms, ATI, Benchmarking, Computer science, Heterogeneous systems, OpenCL, Performance

August 8, 2016 by hgpu

Iterative Hard Thresholding for Model Selection in Genome-Wide Association Studies

Kevin L. Keys, Gary K. Chen, Kenneth Lange

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Tags: Bioinformatics, Genetics, Machine learning, nVidia, OpenCL, Package, Statistics, Tesla C2050

August 8, 2016 by hgpu

OpenCL-accelerated object classification in video streams using Spatial Pooler of Hierarchical Temporal Memory

Maciej Wielgosz, Marcin Pietron

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Tags: Algorithms, AMD Radeon R9 390, ATI, Computer science, Computer vision, Machine learning, OpenCL, Package, PyOpenCL, Python

August 8, 2016 by hgpu

Parallel experiments with RARE-BLAS

Chemseddine Chohra, Philippe Langlois, David Parello

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Tags: Algorithms, BLAS, Computer science, Intel Xeon Phi, Linear Algebra

August 4, 2016 by hgpu

RETURNN: The RWTH Extensible Training framework for Universal Recurrent Neural Networks

Patrick Doetsch, Albert Zeyer, Paul Voigtlaender, Ilya Kulikov, Ralf Schluter, Hermann Ney

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Tags: Computer science, CUDA, Machine learning, Neural and Evolutionary Computing, nVidia, nVidia GeForce GTX 980, Package, RNN, Speech recognition

August 4, 2016 by hgpu

TREES: A CPU/GPU Task-Parallel Runtime with Explicit Epoch Synchronization

Blake A. Hechtman, Andrew D. Hilton, Daniel J. Sorin

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Tags: AMD, APU, Computer science, OpenCL, Operating systems, Programming Languages

August 4, 2016 by hgpu

bioagent-bench: Benchmark for evaluating LLM agents in bioinformatics

BioAgent Bench: An AI Agent Evaluation Suite for Bioinformatics

Benchmark suite for LLM inference on NVIDIA consumer GPUs

Private LLM Inference on Consumer Blackwell GPUs: A Practical Guide for Cost-Effective Local Deployment in SMEs

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

PhysProver: Advancing Automatic Theorem Proving for Physics

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

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high performance computing on graphics processing units: hgpu.org

Applications

Near Memory Similarity Search on Automata Processors

A Comparison of Potential Interfaces for Batched BLAS Computations

CaffePresso: An Optimized Library for Deep Learning on Embedded Accelerator-based platforms

Parallel LDPC Decoding on a Heterogeneous Platform using OpenCL

Accelerating Computational Finance Simulations with OpenCL

Co-design of a particle-in-cell plasma simulation code for Intel Xeon Phi: a first look at Knights Landing

A Comprehensive Performance Analysis of HSA and OpenCL 2.0

Iterative Hard Thresholding for Model Selection in Genome-Wide Association Studies

OpenCL-accelerated object classification in video streams using Spatial Pooler of Hierarchical Temporal Memory

Parallel experiments with RARE-BLAS

RETURNN: The RWTH Extensible Training framework for Universal Recurrent Neural Networks

TREES: A CPU/GPU Task-Parallel Runtime with Explicit Epoch Synchronization

Recent source codes

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

PhysProver: Advancing Automatic Theorem Proving for Physics

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

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