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Compilation techniques and language support to facilitate dependence-driven computation

Albert Sidelnik

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Tags: Compilers, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Thesis

August 27, 2013 by hgpu

Multiple Time Scales Recurrent Neural Network for Complex Action Acquisition

Martin Peniak, Davide Marocco, Jun Taniy, Yuichi Yamashitay, Kerstin Fischerz, Angelo Cangelosi

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Tags: Computer science, CUDA, Neural networks, nVidia, Package

August 27, 2013 by hgpu

Aquila 2.0: Software Architecture for Cognitive Robotics

Martin Peniak, Anthony Morse, Angelo Cangelosi

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, Package

August 26, 2013 by hgpu

Fast Object Re-Detection and Localization in Video for Spatio-Temporal Fragment Creation

Evlampios Apostolidis, Vasileios Mezaris, Ioannis Kompatsiaris

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Tags: Algorithms, Computer science, Computer vision, nVidia, nVidia GeForce GTX 560, OpenCV

August 26, 2013 by hgpu

Estimating the WCET of GPU-Accelerated Applications using Hybrid Analysis

Adam Betts, Alastair Donaldson

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Tags: Computer science, CUDA, GPGPU-sim, nVidia, OpenCL, Package, Python, Tesla C2050

August 26, 2013 by hgpu

OpenCL programming using Python syntax

Massimo Di Pierro

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Tags: Computer science, OpenCL, Package, PyOpenCL, Python

August 26, 2013 by hgpu

SystemC simulation on GP-GPUs: CUDA vs. OpenCL

Nicola Bombier, Sara Vinco, Valeria Bertacco, Debapriya Chatterjee

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 570, OpenCL, Performance

August 26, 2013 by hgpu

Performance Evaluation of Intel Xeon Phi Coprocessor using XKaapi

Joao V. F. Lima, Nicolas Maillard, Franciois Broquedis, Thierry Gautier, Bruno Raffin

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Tags: Benchmarking, Computer science, Intel, Intel Phi, Performance

August 26, 2013 by hgpu

Optimisation and Parallelism in Synchronous Digital Circuit Simulators

John T. O'Donnell, Cordelia V. Hall

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 590, Optimization

August 26, 2013 by hgpu

Evaluation of P-Scheme/G Algorithm for Solving Recurrence Equations

Akiyoshi Wakatani

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 590

August 26, 2013 by hgpu

SOCL: An OpenCL Implementation with Automatic Multi-Device Adaptation Support

Sylvain Henry, Denis Barthou, Alexandre Denis, Raymond Namyst, Marie-Christine Counilh

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Tags: ATI, ATI Radeon HD 7900, Computer science, Heterogeneous systems, nVidia, nVidia Quadro FX 5800, OpenCL, Tesla M2075

August 24, 2013 by hgpu

Performance Optimization of Vision Apps on Mobile Application Processor

Kwang-Ting (Tim) Cheng, Xin Yang and Yi-Chu Wang

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Tags: Computer science, Computer vision, Heterogeneous systems, nVidia, nVidia Tegra, OpenGL

August 24, 2013 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

Compilation techniques and language support to facilitate dependence-driven computation

Multiple Time Scales Recurrent Neural Network for Complex Action Acquisition

Aquila 2.0: Software Architecture for Cognitive Robotics

Fast Object Re-Detection and Localization in Video for Spatio-Temporal Fragment Creation

Estimating the WCET of GPU-Accelerated Applications using Hybrid Analysis

OpenCL programming using Python syntax

SystemC simulation on GP-GPUs: CUDA vs. OpenCL

Performance Evaluation of Intel Xeon Phi Coprocessor using XKaapi

Optimisation and Parallelism in Synchronous Digital Circuit Simulators

Evaluation of P-Scheme/G Algorithm for Solving Recurrence Equations

SOCL: An OpenCL Implementation with Automatic Multi-Device Adaptation Support

Performance Optimization of Vision Apps on Mobile Application Processor

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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