Ritvik Sharma

Orcid: 0000-0002-5809-7031

According to our database1, Ritvik Sharma authored at least 15 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Onyx: A 12-nm Programmable Accelerator for Dense and Sparse Applications.
IEEE J. Solid State Circuits, May, 2026

SocialCue: Exploring the Design Space of Social Wayfinding Assistants for Blind and Low Vision People.
Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

FuseFlow: A Fusion-Centric Compilation Framework for Sparse Deep Learning on Streaming Dataflow.
Proceedings of the 31st ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2026

2025
CFL-SparseMed: Communication-Efficient Federated Learning for Medical Imaging with Top-k Sparse Updates.
CoRR, October, 2025

Optimizing Ancilla-Based Quantum Circuits with SPARE.
Proc. ACM Program. Lang., 2025

A Probabilistic Perspective on Tiling Sparse Tensor Algebra.
Proceedings of the 58th IEEE/ACM International Symposium on Microarchitecture, 2025

2024
Compilation of Qubit Circuits to Optimized Qutrit Circuits.
Proc. ACM Program. Lang., 2024

Onyx: A 12nm 756 GOPS/W Coarse-Grained Reconfigurable Array for Accelerating Dense and Sparse Applications.
Proceedings of the IEEE Symposium on VLSI Technology and Circuits 2024, 2024


2023
CODEBench: A Neural Architecture and Hardware Accelerator Co-Design Framework.
ACM Trans. Embed. Comput. Syst., 2023

APEX: A Framework for Automated Processing Element Design Space Exploration using Frequent Subgraph Analysis.
Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

The Sparse Abstract Machine.
Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022
Fast-QTrain: an algorithm for fast training of variational classifiers.
Quantum Inf. Process., 2022

2021
A Crossbar Array of Analog-Digital-Hybrid Volatile Memory Synapse Cells for Energy-Efficient On-Chip Learning.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

2020
A 4.2-pJ/Conv 10-b Asynchronous ADC with Hybrid Two-Tier Level-Crossing Event Coding.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020


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