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A Toolkit for Building Dynamic Compilers for Array-Based Languages Targeting CPUs and GPUs

Rahul Garg

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Tags: AMD Radeon HD 8650, ATI, ATI Radeon HD 7970, Benchmarking, Code generation, Computer science, Intel HD Graphics 4000, Matlab, Matrix multiplication, nVidia, nVidia GeForce GT 650 M, OpenCL, Package, Python, Tesla C2050, Thesis

October 6, 2015 by hgpu

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SYCL-DNN: a library implementing neural network algorithms written using SYCL

User-Driven Online Kernel Fusion for SYCL

SW#SYCL

Assessing Opportunities of SYCL and Intel oneAPI for Biological Sequence Alignment

StateMover: a checkpoint-based debugging framework for FPGAs

Hardware Checkpointing and Productive Debugging Flows for FPGAs

Flink-TornadoVM-Artifact

Challenges and Techniques for Transparent Acceleration of Unmodified Big Data Applications

Kernel Tuner

Going green: optimizing GPUs for energy efficiency through model-steered auto-tuning

TorchOpt: an efficient library for differentiable optimization built upon PyTorch

TorchOpt: An Efficient Library for Differentiable Optimization

NaturalCC: An Open-Source Toolkit for Code Intelligence

A Study on Neural-based Code Summarization in Low-resource Settings

mt4g: Memory Topology for GPUs

Capturing the Memory Topology of GPUs

iGniter: an interference-aware GPU resource provisioning framework for achieving predictable performance of DNN inference in the cloud

iGniter: Interference-Aware GPU Resource Provisioning for Predictable DNN Inference in the Cloud

pyGSL: A Scalable Library for Graph Structure Learning

pyGSL: A Graph Structure Learning Toolkit

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