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Parallelization & checkpointing of GPU applications through program transformation

Lizandro Damian Solano-Quinde

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Tags: Computer science, nVidia, OpenCL, Programming techniques, Tesla C2070, Tesla T10, Thesis

June 6, 2013 by hgpu

A MapReduce Framework for Heterogeneous Computing Architectures

Marwa Khamis Elteir

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Tags: Computer science, CUDA, Heterogeneous systems, MapReduce, nVidia, OpenCL, Tesla C2050, Tesla M2050, Thesis

June 6, 2013 by hgpu

A comprehensive study of Dynamic Memory Management in OpenCL kernels

Roy Spliet

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Tags: Algorithms, ATI, Computer science, nVidia, nVidia GeForce GT 640, nVidia GeForce GTX 480, nVidia GeForce GTX 680, OpenCL, Performance, Tesla C2050, Tesla K20, Thesis

June 6, 2013 by hgpu

A Reliable Throughput Gain on GPUs

Paolo Rech, Luigi Carro

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Performance

June 6, 2013 by hgpu

Automating elimination of idle functions by run-time reconfiguration

Xinyu Niu, Thomas C. P. Chau, Qiwei Jin, Wayne Luk, Qiang Liu

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Tags: Computer science, CUDA, FPGA, nVidia, Performance, Tesla C2070

June 6, 2013 by hgpu

Implicit Skinning: Real-Time Skin Deformation with Contact Modeling

Rodolphe Vaillant, Loic Barthe, Gael Guennebaud, Marie-Paule Cani, Damien Rohmer, Brian Wyvill, Olivier Gourmel, Mathias Paulin

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 680

June 6, 2013 by hgpu

Accelerating Fast Fourier Transform for Wideband Channelization

Carlo del Mundo, Vignesh Adhinarayanan, Wu-chun Feng

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Tags: ATI, ATI Radeon HD 5870, ATI Radeon HD 6970, ATI Radeon HD 7970, Computer science, FFT, FPGA, nVidia, OpenCL, Signal processing, Tesla C2075

June 6, 2013 by hgpu

Efficient Execution of AMR Computations on GPU Systems

Hari K. Raghavan

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Tags: Computer science, CUDA, Finite difference, Numerical simulation, nVidia, Tesla C2070, Tesla S1070, Thesis, Visualization

June 4, 2013 by hgpu

Towards shared memory consistency models for GPUs

Tyler Sorensen

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Tags: Computer science, CUDA, Memory model, nVidia, Performance, PTX, Thesis

June 4, 2013 by hgpu

Using RenderScript and RCUDA for Compute Intensive tasks on Mobile Devices: a Case Study

Roelof Kemp, Nicholas Palmer, Thilo Kielmann, Henri Bal, Bastiaan Aarts, Anwar Ghuloum

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

June 4, 2013 by hgpu

Coating Process Monitoring Using Computer Vision

Erik Veijola

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Tags: Computer science, Computer vision, CUDA, Image processing, nVidia, OpenCV, Thesis

June 4, 2013 by hgpu

Parallel Acceleration on Manycore Systems and Its Performance Analysis: OpenCL Case Study

Rafael Alejandro Vejarano, Phuong Thi Yen, Jeong-Gun Lee

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Tags: Computer science, Heterogeneous systems, Matrix multiplication, nVidia, nVidia GeForce GTX 460, OpenCL, Performance

June 4, 2013 by hgpu

AutoDock-GPU: AutoDock for GPUs and other accelerators

Architecting Tensor Core-Based Reductions for Irregular Molecular Docking Kernels

NCCLX: collective communication framework

Collective Communication for 100k+ GPUs

Tutoring LLM into a Better CUDA Optimizer

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

A Performance Portable Matrix Free Dense MTTKRP in GenTen

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

Accelerating cosmological simulations on GPUs: a portable approach using OpenMP

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

ConCuR: Conciseness Makes State-of-the-Art Kernel Generation

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high performance computing on graphics processing units: hgpu.org

Parallelization & checkpointing of GPU applications through program transformation

A MapReduce Framework for Heterogeneous Computing Architectures

A comprehensive study of Dynamic Memory Management in OpenCL kernels

A Reliable Throughput Gain on GPUs

Automating elimination of idle functions by run-time reconfiguration

Implicit Skinning: Real-Time Skin Deformation with Contact Modeling

Accelerating Fast Fourier Transform for Wideband Channelization

Efficient Execution of AMR Computations on GPU Systems

Towards shared memory consistency models for GPUs

Using RenderScript and RCUDA for Compute Intensive tasks on Mobile Devices: a Case Study

Coating Process Monitoring Using Computer Vision

Parallel Acceleration on Manycore Systems and Its Performance Analysis: OpenCL Case Study

Recent source codes

AutoDock-GPU: AutoDock for GPUs and other accelerators

NCCLX: collective communication framework

Tutoring LLM into a Better CUDA Optimizer

Kernel Library for LLM Serving

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

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