Nithya  Attaluri

Nithya Attaluri

Scholar Title

MIT EECS | Morais and Rosenblum Undergraduate Research and Innovation Scholar

Research Title

A Hardware Accelerator for Artificial Intelligence





Research Areas
  • Computer Systems

Daniel Sanchez


Artificial intelligence (AI) hardware often focuses on accelerating dense neural networks. However, neural networks are increasingly tending towards sparsity, to make networks more compact and decrease training/inference times. AI accelerators that exploit this sparsity achieve performance gains that arise from eliminating unnecessary, ineffectual computations. Unfortunately, sparse neural network acceleration is challenging for a number of reasons. It often features more irregular data accesses and reuse, requiring complicated data fetching and traversal, and on-chip storage. We address these challenges in this project to design a general-purpose AI accelerator with a flexible design to support dense and sparse neural networks in a variety of formats.


I am looking forward to continuing my work with Prof. Sanchez’s group through my SuperUROP project! I have enjoyed the work that I have done so far in hardware-software co-design for artificial intelligence, and I hope that I’m able to delve deeper into this area over the course of the coming year.

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