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Automatic Mapping of Stream Programs on Multicore Architectures

Pablo de Oliveira Castro, Stephane Louise, Denis Barthou

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Tags: Computer science, CUDA, nVidia, nVidia Quadro FX 580, Programming techniques

February 28, 2013 by hgpu

GEARS: A General and Efficient Algorithm for Rendering Shadows

Lili Wang, Ze Wang, Yulong Shi, Voicu Popescu

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Rendering

February 28, 2013 by hgpu

A Fast and Efficient SIFT Detector Using the Mobile GPU

Blaine Rister, Guohui Wang, Michael Wu, Joseph R. Cavallaro

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

February 28, 2013 by hgpu

Accelerating Dynamic Binary Translation with GPUs

Chung Hwan Kim, Srikanth Manikarnike, Vaibhav Sharma, Eric Eide, Robert Ricci

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Tags: Computer science, CUDA, nVidia, nVidia ION, Programming techniques

February 28, 2013 by hgpu

Parallel simulation of population balance model-based particulate processes using multi-core CPUs and GPUs

Anuj V. Prakash, Anwesha Chaudhury, Rohit Ramachandran

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Tags: Chemistry, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Pharmaceuticals

February 27, 2013 by hgpu

Utilizing Graphics Processing Units for Network Anomaly Detection

Jonathan D. Hersack

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Tags: Algorithms, Computer science, CUDA, Machine learning, Neural networks, nVidia, nVidia GeForce GTX 280, Security, Thesis

February 27, 2013 by hgpu

A Wrapper of OpenCL library for gVirtus Framework

Roberto Di Lauro

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Tags: Cloud, Computer science, nVidia, nVidia Quadro FX 5800, OpenCL, Tesla C1060

February 25, 2013 by hgpu

Graphics Card as a Cheap Supercomputer

Jan Prikryl

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 275, Overview, Package

February 25, 2013 by hgpu

Future of GPGPU Micro-Architectural Parameters

Cedric Nugteren, Gert-Jan van den Braak, Henk Corporaal

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Tags: Computer science, Overview, Performance

February 25, 2013 by hgpu

Can PCM Benefit GPU? Reconciling Hybrid Memory Design with GPU Massive Parallelism for Energy Efficiency

Bin Wang, Bo Wu, Dong Li, Xipeng Shen, Weikuan Yu, Yizheng Jiao, Jeffrey Vetter

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Tags: Computer science, GPGPU-sim, Memory, Performance

February 23, 2013 by hgpu

Efficient Parallel and External Matching

Marcel Birn, Vitaly Osipov, Peter Sanders, Christian Schulz, Nodari Sitchinava

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Tags: Algorithms, Computer science, CUDA, Data Structures and Algorithms, MapReduce, Memory model, nVidia, nVidia GeForce GTX 480

February 23, 2013 by hgpu

Adaptive Hardware-accelerated Terrain Tessellation

Albert Cervin

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Tags: Computer science, Rendering, Tessellation, Thesis

February 23, 2013 by hgpu

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

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

Accurate Models of NVIDIA Tensor Cores

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

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high performance computing on graphics processing units: hgpu.org

Automatic Mapping of Stream Programs on Multicore Architectures

GEARS: A General and Efficient Algorithm for Rendering Shadows

A Fast and Efficient SIFT Detector Using the Mobile GPU

Accelerating Dynamic Binary Translation with GPUs

Parallel simulation of population balance model-based particulate processes using multi-core CPUs and GPUs

Utilizing Graphics Processing Units for Network Anomaly Detection

Graphics Card as a Cheap Supercomputer

Future of GPGPU Micro-Architectural Parameters

Can PCM Benefit GPU? Reconciling Hybrid Memory Design with GPU Massive Parallelism for Energy Efficiency

Efficient Parallel and External Matching

Adaptive Hardware-accelerated Terrain Tessellation

Recent source codes

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

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

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