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Local Alignment Tool Based on Hadoop Framework and GPU Architecture

Che-Lun Hun, Guan-Jie Hua

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Tags: Biology, Cloud, CUDA, Hadoop, MapReduce, nVidia, nVidia GeForce GTS 480, Sequence alignment

April 19, 2014 by hgpu

Real-time Terrain Modeling using CPU-GPU Coupled Computation

Adrien Bernhardt, Andre Maximo, Luiz Velho, Houssam Hnaidi, Marie-Paule Cani

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Tags: Computer science, nVidia, nVidia GeForce GTS 480, OpenGL, Real-time graphics, Rendering, Tessellation

December 6, 2011 by hgpu

wgpy: WebGL accelerated numpy-compatible array library for web browser

WgPy: GPU-accelerated NumPy-like array library for web browsers

Microbenchmarking OpenMP target offload with Catch2

A Microbenchmark Framework for Performance Evaluation of OpenMP Target Offloading

SUperman: Highly Efficient Permanent Computation Library

SUperman: Efficient Permanent Computation on GPUs

TransCL: An Automatic CUDA-to-OpenCL Programs Transformation Framework

TransCL: An Automatic CUDA-to-OpenCL Programs Transformation Framework

pyATF: The Auto-Tuning Framework (ATF) in Python

pyATF: Constraint-Based Auto-Tuning in Python

TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators

TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators

Checkpoint/Restore tool

CRIUgpu: Transparent Checkpointing of GPU-Accelerated Workloads

KernelBench: Can LLMs Write GPU Kernels?

KernelBench: Can LLMs Write Efficient GPU Kernels?

An MLIR-based toolchain for AMD AI Engine-enabled devices

Seamless acceleration of Fortran intrinsics via AMD AI engines

Forecasting time series with constraints

Forecasting time series with constraints

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