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A Hierarchical Thread Scheduler and Register File for Energy-efficient Throughput Processors

Mark Gebhart, Daniel R. Johnson, David Tarjan, Stephen W. Keckler, William J. Dally, Erik Lindholm, Kevin Skadron

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Tags: Computer science, CUDA, Energy-efficient computing, nVidia

February 22, 2012 by hgpu

Variants of Mersenne Twister Suitable for Graphic Processors

Mutsuo Saito, Makoto Matsumoto

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GT 120, nVidia GeForce GTX 260, Package, Pseudo-random number generators

February 21, 2012 by hgpu

Efficient Data Management for GPU Databases

Peter Bakkum, Srimat Chakradhar

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Tags: Computer science, CUDA, Databases, Heterogeneous systems, nVidia, nVidia GeForce GTX 570, Package

February 21, 2012 by hgpu

Acceleration of Composite Order Bilinear Pairing on Graphics Hardware

Ye Zhang, Chun Jason Xue, Duncan S. Wong, Nikos Mamoulis, S.M. Yiu

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Tags: Algorithms, Cloud, Computer science, CUDA, Elliptic curves, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Security, Tesla M2050

February 21, 2012 by hgpu

GPGPU Processing in CUDA Architecture

Jayshree Ghorpade, Jitendra Parande, Madhura Kulkarni, Amit Bawaskar

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Tags: Computer science, CUDA, Data parallelism, DirectCompute, nVidia, OpenCL, Review

February 21, 2012 by hgpu

Implementation of LTE Mini receiver on GPUs

Jose Vieira

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Tags: Computer science, CUDA, MIMO, nVidia, Thesis

February 20, 2012 by hgpu

Model-Driven Tile Size Selection for DOACROSS Loops on GPUs

Peng Di, Jingling Xue

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Tags: Computer science, CUDA, nVidia, Performance, Programming techniques, Tesla C1060

February 20, 2012 by hgpu

A Code Optimization Framework for Performance Portability of GPU Kernels onto Custom Accelerators

Alexandros Papakonstantinou, Deming Chen, Wen-mei Hwu

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Tags: Computer science, CUDA, FPGA, Heterogeneous systems, nVidia, Optimization

February 20, 2012 by hgpu

Introducing ‘Bones’: A Parallelizing Source-to-Source Compiler Based on Algorithmic Skeletons

Cedric Nugteren, Henk Corporaal

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Tags: Algorithms, ATI, ATI Radeon HD 5850, Code generation, Compilers, Computer science, CUDA, nVidia, nVidia GeForce GTX 470, OpenCL

February 20, 2012 by hgpu

Review: Kd-tree Traversal Algorithms for Ray Tracing

M. Hapala, V. Havran

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Tags: 3D Graphics and Realism, Algorithms, Computer science, KD-tree, nVidia, Raytracing, Review

February 20, 2012 by hgpu

GPU Parallel Statistical and Cube Test Analysis of the SHA-3 Finalist Candidate Hash Functions

Alan Kaminsky

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Tags: Computer science, CUDA, Hashing, nVidia, Package, Security, Tesla C2050

February 18, 2012 by hgpu

Exploiting Segmentation for Robust 3D Object Matching

Michael Krainin, Kurt Konolige, Dieter Fox

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTS 450, OpenGL, Package

February 18, 2012 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

A Hierarchical Thread Scheduler and Register File for Energy-efficient Throughput Processors

Variants of Mersenne Twister Suitable for Graphic Processors

Efficient Data Management for GPU Databases

GPGPU Processing in CUDA Architecture

Implementation of LTE Mini receiver on GPUs

Model-Driven Tile Size Selection for DOACROSS Loops on GPUs

A Code Optimization Framework for Performance Portability of GPU Kernels onto Custom Accelerators

Introducing ‘Bones’: A Parallelizing Source-to-Source Compiler Based on Algorithmic Skeletons

Review: Kd-tree Traversal Algorithms for Ray Tracing

GPU Parallel Statistical and Cube Test Analysis of the SHA-3 Finalist Candidate Hash Functions

Exploiting Segmentation for Robust 3D Object Matching

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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