hgpu.org » Go
Derek L. Stinson
Tags: Computer science, CUDA, Deep learning, Go, nVidia, nVidia GeForce GTX 1080 Ti, Package, Thesis
May 17, 2020 by hgpu
Mirko Mariotti, Loriano Storchi, Daniele Spiga, Davide Salomoni, Tommaso Boccali, Daniele Bonacorsi
Tags: Computer science, FPGA, Go, Machine learning
December 8, 2019 by hgpu
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Recent source codes
DeepAxe: A Framework for Exploration of Approximation and Reliability Trade-offs in DNN Accelerators
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Most viewed papers (last 30 days)
- GPU Offloading in ExaHyPE Through C++ Standard Algorithms
- Harmonic CUDA: Asynchronous Programming on GPUs
- Porting numerical integration codes from CUDA to oneAPI: a case study
- DeepAxe: A Framework for Exploration of Approximation and Reliability Trade-offs in DNN Accelerators
- Auto-SpMV: Automated Optimizing SpMV Kernels on GPU
- BenchDirect: A Directed Language Model for Compiler Benchmarks
- Orca: FSS-based Secure Training with GPUs
- HLSDataset: Open-Source Dataset for ML-Assisted FPGA Design using High Level Synthesis
- RTIndeX: Exploiting Hardware-Accelerated GPU Raytracing for Database Indexing
- A Deep Learning Model for Loop Interchange
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