HeteroCL: A Multi-Paradigm Programming Infrastructure for Software-Defined Heterogeneous Computing
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Updated
Apr 20, 2024 - Python
HeteroCL: A Multi-Paradigm Programming Infrastructure for Software-Defined Heterogeneous Computing
[TCAD'23] AccelTran: A Sparsity-Aware Accelerator for Transformers
dMazeRunner: Dataflow acceleration optimization infrastructure for coarse-grained programmable accelerators
A template-based, layer-oriented High Level Synthesis Tool for AI algorithms
A modular, automatable, tunable mapper for accelerator programming
[TCAD'23] TransCODE: Co-design of Transformers and Accelerators for Efficient Training and Inference
The repo for the FERMI FEL paper using model-based and model-free reinforcement learning methods to solve a particle accelerator operation problem.
Axion-Like Particles: Simulated Spectra from Fixed Target, Reactor, and Solar Fluxes
Generative AI Accelerators
Signal processing techniques to find accelerator's tune and test how this tune changes due to some parameters. FFT and NAFF algorithms were used.
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