Aashaka Shah

Senior Researcher

Publications

Afficher par:

- 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
  
  ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) | March 2026
  
  Preprint
- Splitwise: Efficient generative LLM inference using phase splitting
  
  Pratyush Patel, Esha Choukse, Chaojie Zhang, Aashaka Shah, Íñigo Goiri, Saeed Maleki, Ricardo Bianchini
  
  ISCA | June 2024
  
  Publication DOI Projet
- 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
  
  November 2021
  
  Publication Publication
- Memory Optimization for Deep Networks
  
  Aashaka Shah, Chao-Yuan Wu, Jayashree Mohan, Vijay Chidambaram, Philipp Krahenbuhl
  
  International Conference on Learning Representations (ICLR 2021) | May 2021
  
  Publication

- 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
  
  ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) | March 2026
  
  Preprint
- 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
  
  November 2021
  
  Publication Publication
- 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
  
  ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) | March 2026
  
  Preprint
- Splitwise: Efficient generative LLM inference using phase splitting
  
  Pratyush Patel, Esha Choukse, Chaojie Zhang, Aashaka Shah, Íñigo Goiri, Saeed Maleki, Ricardo Bianchini
  
  ISCA | June 2024
  
  Publication DOI Projet
- 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
  
  November 2021
  
  Publication Publication
- Memory Optimization for Deep Networks
  
  Aashaka Shah, Chao-Yuan Wu, Jayashree Mohan, Vijay Chidambaram, Philipp Krahenbuhl
  
  International Conference on Learning Representations (ICLR 2021) | May 2021
  
  Publication
- Memory Optimization for Deep Networks
  
  Aashaka Shah, Chao-Yuan Wu, Jayashree Mohan, Vijay Chidambaram, Philipp Krahenbuhl
  
  International Conference on Learning Representations (ICLR 2021) | May 2021
  
  Publication
- Memory Optimization for Deep Networks
  
  Aashaka Shah, Chao-Yuan Wu, Jayashree Mohan, Vijay Chidambaram, Philipp Krahenbuhl
  
  International Conference on Learning Representations (ICLR 2021) | May 2021
  
  Publication

- 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
  
  ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) | March 2026
  
  Preprint
- Splitwise: Efficient generative LLM inference using phase splitting
  
  Pratyush Patel, Esha Choukse, Chaojie Zhang, Aashaka Shah, Íñigo Goiri, Saeed Maleki, Ricardo Bianchini
  
  ISCA | June 2024
  
  Publication DOI Projet
- Memory Optimization for Deep Networks
  
  Aashaka Shah, Chao-Yuan Wu, Jayashree Mohan, Vijay Chidambaram, Philipp Krahenbuhl
  
  International Conference on Learning Representations (ICLR 2021) | May 2021
  
  Publication
- 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
  
  November 2021
  
  Publication Publication

Aashaka Shah

Publications

MSCCL++: Rethinking GPU Communication Abstractions for AI Inference

Splitwise: Efficient generative LLM inference using phase splitting

Synthesizing Collective Communication Algorithms for Heterogeneous Networks with TACCL

Memory Optimization for Deep Networks

MSCCL++: Rethinking GPU Communication Abstractions for AI Inference

Synthesizing Collective Communication Algorithms for Heterogeneous Networks with TACCL

MSCCL++: Rethinking GPU Communication Abstractions for AI Inference

Splitwise: Efficient generative LLM inference using phase splitting

Synthesizing Collective Communication Algorithms for Heterogeneous Networks with TACCL

Memory Optimization for Deep Networks

Memory Optimization for Deep Networks

Memory Optimization for Deep Networks

MSCCL++: Rethinking GPU Communication Abstractions for AI Inference

Splitwise: Efficient generative LLM inference using phase splitting

Memory Optimization for Deep Networks

Synthesizing Collective Communication Algorithms for Heterogeneous Networks with TACCL

Contact Aashaka Shah

Microsoft Research Lab – Redmond