Implementing a Persistent Offline Cache Improving Time to First Execution (TTFX) of GPU Code in Julia
GPU’s allow users the ability to run code with high data parallelism efficiently on specialized hardware. GPUCompiler.jl provides a GPU compilation process to Julia allowing users to write highly efficient vector operations common in scientific computing. GPUCompiler.jl does not support the same lev...
Main Author: | Warner, Collin |
---|---|
Other Authors: | Edelman, Alan |
Format: | Thesis |
Published: |
Massachusetts Institute of Technology
2023
|
Online Access: | https://hdl.handle.net/1721.1/151406 |
Similar Items
-
Polyhedral Code Transformation for Julia
by: Julian, Meredith
Published: (2022) -
Implementation of frequency analysis modules for audio coding on GPU
by: Meher, Subrat.
Published: (2011) -
In-cache query co-processing on coupled CPU-GPU architectures
by: He, Jiong, et al.
Published: (2016) -
Implementation and performance evaluation of a GPU particle-in-cell code
by: Payne, Joshua Estes
Published: (2013) -
An improved CUDA-based implementation of differential evolution on GPU
by: Raimondo, Federico, et al.
Published: (2013)