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Abhimanyu Rajeshkumar Bambhaniya
PhD student, Georgia Institute of Technology
Joined
January 2023
Names
Abhimanyu Rajeshkumar Bambhaniya
(Preferred)
,
Abhimanyu Rajesh Bambhaniya
,
Abhimanyu Bambhaniya
Emails
****@gatech.edu
(Confirmed)
Personal Links
Google Scholar
DBLP
ORCID
LinkedIn
Semantic Scholar
Career & Education History
PhD student
Georgia Institute of Technology
(gatech.edu)
2021
–
2026
Undergrad student
Indian Institute of Technology, Roorkee
(iitr.ac.in)
2015
–
2019
Advisors, Relations & Conflicts
PhD Advisor
Tushar Krishna
2021
–
Present
Expertise
LLM Inference
2023
–
Present
MoE Model Acceleration
2023
–
Present
Sparse model training
2022
–
Present
Hardware of AI
2021
–
Present
Sparsity in hardware
2021
–
Present
HW-SW codesign
2021
–
Present
Computer architecture
2021
–
Present
Publications
Progressive Gradient Flow for Robust N:M Sparsity Training in Transformers
Abhimanyu Rajeshkumar Bambhaniya
,
Amir Yazdanbakhsh
,
Suvinay Subramanian
,
Sheng-Chun Kao
,
Shivani Agrawal
,
Utku Evci
,
Tushar Krishna
CPAL 2025 (Proceedings Track) Oral
Readers:
Everyone
Enabling Unstructured Sparse Acceleration on Structured Sparse Accelerators
Geonhwa Jeong
,
Po-An Tsai
,
Abhimanyu Rajeshkumar Bambhaniya
,
Stephen W. Keckler
,
Tushar Krishna
MLSys 2025
Readers:
Everyone
MoE-ERAS: Expert Residency Aware Selection
Abhimanyu Rajeshkumar Bambhaniya
,
Sashankh Chengavalli Kumar
,
Tushar Krishna
MLArchSys 2024 OralPoster
Readers:
Everyone
Sparsify the Weights but Let the Gradients Flow!
Amir Yazdanbakhsh
,
Abhimanyu Rajeshkumar Bambhaniya
,
Suvinay Subramanian
,
Sheng-Chun Kao
,
Shivani Agrawal
,
Utku Evci
,
Tushar Krishna
ICLR 2024 Conference Withdrawn Submission
Readers:
Everyone
Accelerating Attention Based Models via HW-SW Co-Design using Fine-Grained Sparsification
Abhimanyu Rajesh Bambhaniya
,
Amir Yazdanbakhsh
,
Suvinay Subramanian
,
Tushar Krishna
Published: 16 May 2023, Last Modified: 23 Jun 2023
ASSYST Oral
Readers:
Everyone
VEGETA: Vertically-Integrated Extensions for Sparse/Dense GEMM Tile Acceleration on CPUs
Geonhwa Jeong
,
Sana Damani
,
Abhimanyu Rajeshkumar Bambhaniya
,
Eric Qin
,
Christopher J. Hughes
,
Sreenivas Subramoney
,
Hyesoon Kim
,
Tushar Krishna
Published: 01 Jan 2023, Last Modified: 12 May 2023
HPCA 2023
Readers:
Everyone
VEGETA: Vertically-Integrated Extensions for Sparse/Dense GEMM Tile Acceleration on CPUs
Geonhwa Jeong
,
Sana Damani
,
Abhimanyu Rajeshkumar Bambhaniya
,
Eric Qin
,
Christopher J. Hughes
,
Sreenivas Subramoney
,
Hyesoon Kim
,
Tushar Krishna
Published: 01 Jan 2023, Last Modified: 12 May 2023
CoRR 2023
Readers:
Everyone
Enabling Flexibility for Sparse Tensor Acceleration via Heterogeneity
Eric Qin
,
Raveesh Garg
,
Abhimanyu Bambhaniya
,
Michael Pellauer
,
Angshuman Parashar
,
Sivasankaran Rajamanickam
,
Cong Hao
,
Tushar Krishna
2022 (modified: 22 Nov 2022)
CoRR 2022
Readers:
Everyone
COMET: A Comprehensive Cluster Design Methodology for Distributed Deep Learning Training
Divya Kiran Kadiyala
,
Saeed Rashidi
,
Taekyung Heo
,
Abhimanyu Rajeshkumar Bambhaniya
,
Tushar Krishna
,
Alexandros Daglis
Published: 01 Jan 2022, Last Modified: 12 May 2023
CoRR 2022
Readers:
Everyone
Co-Authors
Alexandros Daglis
Amir Yazdanbakhsh
Angshuman Parashar
Christopher J. Hughes
Cong Hao
Divya Kiran Kadiyala
Eric Qin
Geonhwa Jeong
Hyesoon Kim
Michael Pellauer
Po-An Tsai
Raveesh Garg
Saeed Rashidi
Sana Damani
Sashankh Chengavalli Kumar
Sheng-Chun Kao
Shivani Agrawal
Sivasankaran Rajamanickam
Sreenivas Subramoney
Stephen W. Keckler
Suvinay Subramanian
Taekyung Heo
Tushar Krishna
Utku Evci