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Load Balancing for Constraint Solving with GPUs

Pedro Roque, Vasco Pedro, Salvador Abreu

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Tags: ATI, ATI Radeon HD 7990, Computer science, Heterogeneous systems, Intel Xeon Phi, load balancing, nVidia, nVidia GeForce GTX 980 M, OpenCL, Tesla K20

April 7, 2017 by hgpu

Metamorphic Testing for (Graphics) Compilers

Alastair F. Donaldson, Andrei Lascu

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Tags: Compilers, Computer science, GLSL, nVidia, nVidia GeForce GTX 980 M, OpenCL, OpenGL

March 5, 2016 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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