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hgpu.org » Computer science

Caffe: Convolutional Architecture for Fast Feature Embedding

Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan Long, Ross Girshick, Sergio Guadarrama, Trevor Darrell

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Tags: Cloud, Computer science, CUDA, Neural networks, nVidia, Package, Pattern recognition, Python

August 23, 2014 by hgpu

Code Generation for High-Level Synthesis of Multiresolution Applications on FPGAs

Moritz Schmid, Oliver Reiche, Christian Schmitt, Frank Hannig, Jurgen Teich

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Tags: ARM, Code generation, Compilers, Computational Complexity, Computer science, Differential equations, FPGA, Image processing, Partial differential equations, PDEs

August 23, 2014 by hgpu

Parallel Bio-Inspired Methods for Model Optimization and Pattern Recognition

Youssef S. G. Nashed

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Tags: Computer science, CUDA, Metaheuristics, nVidia, nVidia GeForce GT 630 M, nVidia GeForce GTS 450, Pattern recognition, Thesis

August 23, 2014 by hgpu

A Comprehensive Survey on Various Evolutionary Algorithms on GPU

Satvir Singh, Jaspreet Kaur, Rashmi Sharan Sinha

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 285, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Particle swarm optimization, Tesla C1060, Tesla C2050

August 23, 2014 by hgpu

Exploiting Parallel Processing Power of GPU for High Speed Frequent Pattern Mining

D.William Albert, Dr.K.Fayaz, D.Veerabhadra Babu

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Tags: ATI, ATI Radeon HD 5850, Computer science, Data mining, Databases, Java, Machine learning, OpenCL

August 23, 2014 by hgpu

GPGPU Programming for Games and Science

David H. Eberly

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Tags: Algorithms, Book, Computer science, DirectX, Games, HLSL, Package, Software Engineering

August 21, 2014 by hgpu

GPU accelerated rendering of vector based maps on iOS

Jonas Bromo, Alexander Qvick Faxa

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Tags: Computer science, OpenGL, Optimization, Rendering, Thesis, Visualization

August 21, 2014 by hgpu

Volumetric Rendering Techniques for Scientific Visualization

Erhan Okuyan

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Tags: Algorithms, Computer science, CUDA, Mesh simplification, nVidia, nVidia GeForce 8800 GT, nVidia GeForce GTX 560, OpenMP, Rendering, Visualization

August 21, 2014 by hgpu

Error Resilience Evaluation on GPGPU Applications

Bo Fang

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Tags: Algorithms, Computer science, CUDA, Fault tolerance, nVidia, Package, Thesis

August 21, 2014 by hgpu

GPU Accelerated Range Trees with Applications

Manoj Maramreddy, Kishore Kothapalli

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Tags: Computer science, CUDA, Databases, Graph theory, nVidia, nVidia GeForce GTX 580, OpenMP

August 19, 2014 by hgpu

Parallel Graph Mining with GPUs

Robest Kessl, Nilothpal Talukder, Pranay Anchuri, Mohammed J. Zaki

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Tags: Algorithms, Computer science, CUDA, Databases, Graph theory, nVidia, Tesla C2075

August 19, 2014 by hgpu

Parallel Outlier Detection on Uncertain Data for GPUs

Takazumi Matsumoto, Edward Hung, Man Lung Yiu

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Tags: Algorithms, Clustering, Computer science, Data mining, nVidia, nVidia GeForce GT 440, OpenCL

August 19, 2014 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

Code Generation for High-Level Synthesis of Multiresolution Applications on FPGAs

Parallel Bio-Inspired Methods for Model Optimization and Pattern Recognition

A Comprehensive Survey on Various Evolutionary Algorithms on GPU

Exploiting Parallel Processing Power of GPU for High Speed Frequent Pattern Mining

GPGPU Programming for Games and Science

GPU accelerated rendering of vector based maps on iOS

Volumetric Rendering Techniques for Scientific Visualization

Error Resilience Evaluation on GPGPU Applications

GPU Accelerated Range Trees with Applications

Parallel Graph Mining with GPUs

Parallel Outlier Detection on Uncertain Data for GPUs

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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