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
dMazeRunner: Dataflow acceleration optimization infrastructure for coarse-grained programmable accelerators
[TCAD'23] AccelTran: A Sparsity-Aware Accelerator for Transformers
A modular, automatable, tunable mapper for accelerator programming
The repo for the FERMI FEL paper using model-based and model-free reinforcement learning methods to solve a particle accelerator operation problem.
[TCAD'23] TransCODE: Co-design of Transformers and Accelerators for Efficient Training and Inference
Signal processing techniques to find accelerator's tune and test how this tune changes due to some parameters. FFT and NAFF algorithms were used.
Generative AI Accelerators
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