Aashaka Shah

Researcher, Microsoft Research, Microsoft

Joined

September 2020

Names

Aashaka Shah (Preferred)

Emails

****@cs.utexas.edu (Confirmed)

****@gmail.com (Confirmed)

****@microsoft.com (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Researcher

Microsoft Research, Microsoft (microsoft.com)

2023 – Present

PhD student

University of Texas, Austin (utexas.edu)

2018 – 2023

Undergrad student

Indian Institution Technology Roorkee (iitr.ac.in)

2014 – 2018

Advisors, Relations & Conflicts

PhD Advisor

Vijay Chidambaram

2018 – 2023

Expertise

efficient deep learning

Present

systems for deep learning

Present

systems optimization for rl post-training

Present

Publications

MSCCL++: Rethinking GPU Communication Abstractions for AI Inference
Changho Hwang, Peng Cheng, Roshan Dathathri, Abhinav Jangda, Saeed Maleki, Madan Musuvathi, Olli Saarikivi, Aashaka Shah, Ziyue Yang, Binyang Li, Caio Rocha, Qinghua Zhou, Mahdieh Ghazimirsaeed, Sreevatsa Anantharamu, Jithin Jose
- ASPLOS (2) 2026
- Readers: Everyone
Splitwise: Efficient Generative LLM Inference Using Phase Splitting
Esha Choukse, Pratyush Patel, Chaojie Zhang, Aashaka Shah, Íñigo Goiri, Saeed Maleki, Rodrigo Fonseca, Ricardo Bianchini
- IEEE Micro 2025
- Readers: Everyone
MSCCL++: Rethinking GPU Communication Abstractions for Cutting-edge AI Applications
Aashaka Shah, Abhinav Jangda, Binyang Li, Caio Rocha, Changho Hwang, Jithin Jose, Madan Musuvathi, Olli Saarikivi, Peng Cheng, Qinghua Zhou, Roshan Dathathri, Saeed Maleki, Ziyue Yang
- CoRR 2025
- Readers: Everyone
Splitwise: Efficient Generative LLM Inference Using Phase Splitting
Pratyush Patel, Esha Choukse, Chaojie Zhang, Aashaka Shah, Íñigo Goiri, Saeed Maleki, Ricardo Bianchini
- ISCA 2024
- Readers: Everyone
ForestColl: Efficient Collective Communications on Heterogeneous Network Fabrics
Liangyu Zhao, Saeed Maleki, Ziyue Yang, Hossein Pourreza, Aashaka Shah, Changho Hwang, Arvind Krishnamurthy
- CoRR 2024
- Readers: Everyone
TACCL: Guiding Collective Algorithm Synthesis using Communication Sketches
Aashaka Shah, Vijay Chidambaram, Meghan Cowan, Saeed Maleki, Madan Musuvathi, Todd Mytkowicz, Jacob Nelson, Olli Saarikivi
- NSDI 2023
- Readers: Everyone
Splitwise: Efficient generative LLM inference using phase splitting
Pratyush Patel, Esha Choukse, Chaojie Zhang, Íñigo Goiri, Aashaka Shah, Saeed Maleki, Ricardo Bianchini
- CoRR 2023
- Readers: Everyone
Synthesizing Collective Communication Algorithms for Heterogeneous Networks with TACCL
Aashaka Shah, Vijay Chidambaram, Meghan Cowan, Saeed Maleki, Madan Musuvathi, Todd Mytkowicz, Jacob Nelson, Olli Saarikivi, Rachee Singh
- CoRR 2021
- Readers: Everyone
Memory Optimization for Deep Networks
Aashaka Shah, Chao-Yuan Wu, Jayashree Mohan, Vijay Chidambaram, Philipp Krähenbühl
- ICLR 2021
- Readers: Everyone
RainBlock: Faster Transaction Processing in Public Blockchains
Soujanya Ponnapalli, Aashaka Shah, Souvik Banerjee, Dahlia Malkhi, Amy Tai, Vijay Chidambaram, Michael Wei
- USENIX ATC 2021
- Readers: Everyone

View all 16 publications

Co-Authors

Abhinav Jangda
Amy Tai
Arvind Krishnamurthy
Asutosh Palai
Binyang Li
Caio Rocha
Changho Hwang
Chao-Yuan Wu
Chaojie Zhang
Dahlia Malkhi
Esha Choukse
Hossein Pourreza
Jacob Nelson
Jayashree Mohan
Jithin Jose
Liangyu Zhao
Madan Musuvathi
Mahdieh Ghazimirsaeed
Meet Vora
Meghan Cowan
Melissa Wasserman
Michael Wei
Olli Saarikivi
Peng Cheng
Philipp Kraehenbuehl

View all 42 co-authors