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Accelerating Vector Calculations on GPU

Karol Grondzak, Penka Martincova, Ondrej Such

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Tags: Algorithms, Computer science, CUDA, nVidia, Performance, Tesla C1060, Tutorial

October 1, 2011 by hgpu

Exploring The Latency and Bandwidth Tolerance of CUDA Applications

Gregory Diamos, Sudnya Padalikar

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Tags: Benchmarking, Computer science, CUDA, GPU cluster, Memory, nVidia, Performance, PTX, Tesla C1060

September 30, 2011 by hgpu

Architecture-Aware Mapping and Optimization on Heterogeneous Computing Systems

Mayank Daga

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Tags: ATI, ATI Radeon HD 5870, Computer science, CUDA, Heterogeneous systems, Molecular modeling, nVidia, nVidia GeForce GTX 280, OpenCL, Optimization, Tesla C2050, Thesis

September 30, 2011 by hgpu

Real-Time Handling of GPU Interrupts in LITMUSRT

Glenn A. Elliott, Chih-Hao Sun, and James H. Anderson

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 470, Operating systems

September 30, 2011 by hgpu

Enhancing Data Locality for Dynamic Simulations through Asynchronous Data Transformations and Adaptive Control

Bo Wu, Eddy Z. Zhang, Xipeng Shen

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Tags: Algorithms, Benchmarking, CMP, Computer science, CUDA, Heterogeneous systems, nVidia, Optimization, Tesla S1070

September 30, 2011 by hgpu

Stack-less SIMT reconvergence at low cost

Sylvain Collange

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Tags: ATI, Computer science, Hardware Architecture, Memory, nVidia, Performance

September 30, 2011 by hgpu

A PTX Code Generator for LLVM

Helge Rhodin

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Tags: Code generation, Compilers, Computer science, CUDA, nVidia, Optimization, PTX, Thesis, Virtualization

September 30, 2011 by hgpu

CBench: Analyzing Compute Performance for Modern NVIDIA and AMD GPUs

Varun Sampath

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Tags: Algorithms, ATI, ATI Radeon HD 6870, Benchmarking, Computer science, CUDA, nVidia, OpenCL, Package, Tesla C2070

September 30, 2011 by hgpu

FATSEA-An Architectural Simulator for General Purpose Computing on GPUs

K.E. Ostby, J.L. Aragon, J.M. Garcia, M. Ujaldon

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Tags: Compilers, Computer science, CUDA, nVidia, Performance, PTX, Tesla C870

September 30, 2011 by hgpu

Translating GPU binaries to tiered SIMD architectures with Ocelot

Gregory Diamos, Andrew Kerr, Mukil Kesavan

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Tags: Algorithms, Cell processor, Compilers, Computer science, nVidia, PTX

September 30, 2011 by hgpu

Accelerating Foreign-Key Joins using Asymmetric Memory Channels

Holger Pirk, Stefan Manegold, Martin Kersten

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Tags: ATI, ATI Radeon HD 5850, Computer science, Databases, nVidia, nVidia GeForce GTX 480, OpenCL

September 30, 2011 by hgpu

Accelerating data mining workloads: current approaches and future challenges in system architecture design

Alok N. Choudhary, Daniel Honbo, Prabhat Kumar, Berkin Ozisikyilmaz, Sanchit Misra, Gokhan Memik

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Tags: Computer science, CUDA, Data mining, FPGA, Heterogeneous systems, nVidia, nVidia GeForce 8800 GT

September 30, 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

Accelerating Vector Calculations on GPU

Exploring The Latency and Bandwidth Tolerance of CUDA Applications

Architecture-Aware Mapping and Optimization on Heterogeneous Computing Systems

Real-Time Handling of GPU Interrupts in LITMUSRT

Enhancing Data Locality for Dynamic Simulations through Asynchronous Data Transformations and Adaptive Control

Stack-less SIMT reconvergence at low cost

A PTX Code Generator for LLVM

CBench: Analyzing Compute Performance for Modern NVIDIA and AMD GPUs

FATSEA-An Architectural Simulator for General Purpose Computing on GPUs

Translating GPU binaries to tiered SIMD architectures with Ocelot

Accelerating Foreign-Key Joins using Asymmetric Memory Channels

Accelerating data mining workloads: current approaches and future challenges in system architecture design

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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