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
Recent source codes
* * *
Most viewed papers (last 30 days)
- Fortran High-Level Synthesis: Reducing the barriers to accelerating HPC codes on FPGAs
- PoCL-R: An Open Standard Based Offloading Layer for Heterogeneous Multi-Access Edge Computing with Server Side Scalability
- Compute units in OpenMP: Extensions for heterogeneous parallel programming
- Comparing Llama-2 and GPT-3 LLMs for HPC kernels generation
- Many Cores, Many Models: GPU Programming Model vs. Vendor Compatibility Overview
- Leveraging Memory Copy Overlap for Efficient Sparse Matrix-Vector Multiplication on GPUs
- Scope is all you need: Transforming LLMs for HPC Code
- Novel insights on atomic synchronization for sort-based group-by on GPUs
- Performant low-order matrix-free finite element kernels on GPU architectures
- HPAC-Offload: Accelerating HPC Applications with Portable Approximate Computing on the GPU
* * *