high performance computing on graphics processing units: hgpu.org

hgpu.org » Computer science

GPU-accelerated fault simulation and its new applications

Huawei Li, Dawen Xu, Kwang-Ting Cheng

Tags: Computer science, Electronic design automation, Fault simulation

June 23, 2011 by hgpu

GPU Implementation of the LFT Shape Matching Algorithm

Adrie Kooijman, Joris Vergeest

Tags: CAD, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 260

June 23, 2011 by hgpu

Implementation and Performance Analysis of SEAL Encryption on FPGA, GPU and Multi-core Processors

Kostas Theoharoulis, Charalambos Antoniadis, Nikolaos Bellas, Christos D. Antonopoulos

Tags: Algorithms, Computer science, FPGA, Performance, Security

June 22, 2011 by hgpu

Optimizing simulated annealing on GPU: A case study with IC floorplanning

Yiding Han, S. Roy, K. Chakraborty

Tags: Algorithms, Computer science, Optimization

June 22, 2011 by hgpu

High performance gate-level simulation with GP-GPU computing

Valeria Bertacco, Debapriya Chatterjee

Tags: CAD, Computer science, Electronic design automation

June 22, 2011 by hgpu

Cloth Simulation Using AABB Hierarchies and GPU Parallelism

Frizzi Alejandra San Roman Salazar, Bruno Brandoli Machado, Alexander Victor Ocsa Mamani, Maria Cristina Ferreira de Oliveira

Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, Physics-based simulation, Rendering

June 22, 2011 by hgpu

Resource Sharing in GPU-Accelerated Windowing Systems

Shinpei Kato, Karthik Lakshmanan, Yutaka Ishikawa, Ragunathan (Raj) Rajkumar

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Tags: Computer science, nVidia, nVidia GeForce 9500 GT, OpenGL, Operating systems, Rendering

June 22, 2011 by hgpu

Exploiting SPMD Horizontal Locality

Chunyang Gou, Georgi Gaydadjiev

Tags: Computer science, Memory, Memory model

June 22, 2011 by hgpu

Improved Programming of GPU Architectures through Automated Data Allocation and Loop Restructuring

Andrea Di Biagio, Giovanni Agosta

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

June 21, 2011 by hgpu

Scalable Streaming-Array of Simple Soft-Processors for Stencil Computations with Constant Memory-Bandwidth

Kentaro Sano, Yoshiaki Hatsuda, Satoru Yamamoto

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Tags: Computer science, FPGA, nVidia, Poster, Tesla C1060

June 21, 2011 by hgpu

Fast, parallel, GPU-based construction of space filling curves and octrees

Prekshu Ajmera, Rhushabh Goradia, Sharat Chandran, Srinivas Aluru

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8800, Visualization

June 21, 2011 by hgpu

A Scalable End-to-End Optimized Real-Time Image-Based Rendering Framework on Graphics Hardware

Sammy Rogmans, Jiangbo Lu, Gauthier Lafruit

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Tags: Computer science, nVidia, nVidia GeForce 7900 GTX, nVidia GeForce 8800 GT, nVidia Quadro FX 1600 M, Presentation, Rendering

June 20, 2011 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

GPU-accelerated fault simulation and its new applications

GPU Implementation of the LFT Shape Matching Algorithm

Implementation and Performance Analysis of SEAL Encryption on FPGA, GPU and Multi-core Processors

Optimizing simulated annealing on GPU: A case study with IC floorplanning

High performance gate-level simulation with GP-GPU computing

Cloth Simulation Using AABB Hierarchies and GPU Parallelism

Resource Sharing in GPU-Accelerated Windowing Systems

Exploiting SPMD Horizontal Locality

Improved Programming of GPU Architectures through Automated Data Allocation and Loop Restructuring

Scalable Streaming-Array of Simple Soft-Processors for Stencil Computations with Constant Memory-Bandwidth

Fast, parallel, GPU-based construction of space filling curves and octrees

A Scalable End-to-End Optimized Real-Time Image-Based Rendering Framework on Graphics Hardware

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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