Argonne National Laboratory

Murali
Emani

Computer Scientist

Artificial Intelligence & Machine Learning Group
Argonne Leadership Computing Facility (ALCF)

memani [at] anl [dot] gov
Photo of Murali Emani

Background

About

I am a Computer Scientist in the Artificial Intelligence and Machine Learning (AIML) group with the Argonne Leadership Computing Facility (ALCF) at Argonne National Laboratory. Prior, I was a Postdoctoral Research Staff Member at Lawrence Livermore National Laboratory, US.

I obtained my PhD and worked as a Research Associate at the Institute for Computing Systems Architecture at the School of Informatics, University of Edinburgh, UK under the guidance of Prof. Michael O'Boyle.

At ALCF, I co-lead the AI Testbed where we explore the performance and efficiency of novel AI accelerators for scientific machine learning applications. I also served as co-chair for the MLPerf HPC group at MLCommons to benchmark large-scale ML on HPC systems.

My current projects focus on:

Developing performance models to identify and address bottlenecks while scaling ML/DL frameworks on emerging supercomputers for scientific applications; co-design of emerging hardware architectures to scale up machine learning algorithms; and benchmarking ML/DL frameworks and methods on HPC systems.

Parallel Programming Models High Performance Computing Scalable Machine Learning Runtime Systems AI Accelerators Benchmarking Online Adaptation LLM Inference

Latest

News

Mar '26
ICLR'26Paper on ImageNet-Think-250K: A Large-Scale Synthetic Dataset for Multimodal Reasoning for Vision Language Models selected at DATA-FM workshop at ICLR'26.
Feb '26
PaperPaper on A Robust, Defensible, and Reproducible Methodology for Benchmarking Single-Turn Jailbreak Attacks on Large Language Models published for the India AI Impact Summit.
Jan '26
EACL'26Paper on PagedEviction: Structured Block-wise KV Cache Pruning for Efficient Large Language Model Inference selected at EACL'26.
Dec '25
ACL'25Paper on Mātṛkā: Multilingual Jailbreak Evaluation of Open-Source Large Language Models selected at the 1st Workshop on Benchmarks for Human-Centric AI in Indian Languages at ACL 2025.
Sep '25
Gordon BellAERIS: Argonne Earth Systems Model for Reliable and Skillful Predictions — finalist for the 2025 ACM Gordon Bell Prize in Climate Modeling.
Sep '25
SC'25Paper on MoE-Inference-Bench accepted at PMBS workshop at SC25; paper on sparse fine-tuning for wafer-scale engines accepted at ExHetAI workshop at SC25.
Jul '25
ICCV'25Paper on MoPEQ: Mixture of Mixed Precision Quantized Experts accepted at Workshop on Extreme Quantization for Computer Vision at ICCV 2025.
Jun '25
ICIP'25Paper on Langvision-Lora-NAS accepted at IEEE ICIP 2025. Co-organized two BoF sessions and a tutorial on programming novel AI accelerators at ISC25.
Feb '25
arXivPapers on AILuminate: v1.0 of the AI Risk and Reliability Benchmark from MLCommons and BaKlaVa — Budgeted Allocation of KV cache for Long-context Inference available on arXiv.

Research Output

Publications

2026
EACL'26
Krishna Teja Chitty-Venkata, Jie Ye, Xian-He Sun, Anthony Kougkas, Murali Emani, Venkatram Vishwanath, Bogdan Nicolae
Tech
Report
Sean McGregor, Deepak Nathani, Murali Emani, et al.
Tech
Report
Carsten Maple, Riya Tapwal, Chris Knotz, James Ezick, Alicia Parrish, Murali Emani, et al.
2025
SC'25
Väinö Hatanpää, Eugene Ku, Jason Stock, Murali Emani, Sam Foreman, Chunyong Jung, Sandeep Madireddy, et al.
PMBS'25
Krishna Teja Chitty-Venkata, Sylvia Howland, Golara Azar, Daria Soboleva, Natalia Vassilieva, Siddhisanket Raskar, Murali Emani, Venkatram Vishwanath
ICCV'25
Workshop
Krishna Teja Chitty-Venkata, Jie Ye, Murali Emani, Venkatram Vishwanath
ICIP'25
Krishna Teja Chitty-Venkata, Murali Emani, Venkatram Vishwanath
arXiv
Ahmed Burak Gulhan, Krishna Teja Chitty-Venkata, Murali Emani, Mahmut Kandemir, Venkatram Vishwanath
arXiv
Krishna Teja Chitty-Venkata, Sandeep Madireddy, Murali Emani, Venkatram Vishwanath
arXiv
Gregor von Laszewski, Wesley Brewer, Jeyan Thiyagalingam, Murali Emani, et al.
2024
PMBS'24
Krishna Teja Chitty-Venkata, Siddhisanket Raskar, Bharat Kale, Farah Ferdaus, Aditya Tanikanti, Ken Raffenetti, Valerie Taylor, Murali Emani, Venkatram Vishwanath
SC'24
Gautham Dharuman, Kyle Hippe, Alexander Brace, Sam Foreman, Murali Emani, et al.
HCW'24
IPDPS
Murali Emani, Sam Foreman, Varuni Sastry, Zhen Xie, Siddhisanket Raskar, William Arnold, Rajeev Thakur, Venkatram Vishwanath, Michael E. Papka, et al.
USENIX
ATC'24
Zhen Xie, Murali Emani, Xiaodong Yu, Dingwen Tao, Xin He, Pengfei Su, Keren Zhou, Venkatram Vishwanath
Euro-Par'24
Krishna Teja Chitty-Venkata, Varuni Katti Sastry, Murali Emani, Venkatram Vishwanath, Sanjif Shanmugavelu, Sylvia Howland
arXiv
Wes Brewer, Ana Gainaru, Frédéric Suter, Feiyi Wang, Murali Emani, Shantenu Jha
2022 – 2023
SC'22
GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics🏆 ACM Gordon Bell Special Prize
Maxim Zvyagin, Alexander Brace, Kyle Hippe, Murali Emani, et al.
PMBS'22
A Comprehensive Evaluation of Novel AI Accelerators for Deep Learning Workloads
Murali Emani, Zhen Xie, Sid Raskar, Varuni Sastry, William Arnold, et al.
Nature
Sci. Data'23
FAIR for AI: An interdisciplinary, international, inclusive, and diverse community building perspective
Eliu Huerta, Ben Blaiszik, Murali Emani, Ian Foster, et al.
IEEE CSE'21
Accelerating Scientific Applications With SambaNova Reconfigurable Dataflow Architecture
Murali Emani, Venkatram Vishwanath, Corey Adams, Michael E. Papka, Rick Stevens, et al.
MLHPC'21
MLPerf HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems
Steven Farrell, Murali Emani, et al.
Selected Earlier Work
PLDI'15
Murali Krishna Emani, Michael O'Boyle — ACM SIGPLAN PLDI 2015
CGO'13
Murali Krishna Emani, Zheng Wang, Michael O'Boyle — CGO 2013

Community

Service

Program Committee

MLSys'26, SIGKDD'26, AAAI'26, HiPC'25, KDD'25, SC'25, IISWC'25, CCGRID'25, ISC'25, SC'24, CCGRID'24, Bench'23, ISC'23, Bench'22, ICCD'22, IPDPS'22, SC'21 (posters), IPDPS'21, AI4Science@SC'20, ICPP'19, CCGRID'19, PACT'18, CCGRID'18, ICPP'18

Artifact Evaluation Committee

  • ASPLOS'21
  • ASPLOS'20
  • MLSys'20

Journal Reviewer

Concurrency & Computation, ParCo, ACM TOPC, Elsevier TJOR, ACM TECS, NSF panels

Granted Patents

US 9,317,456 B2
Method and system for performing event-matching with a graphical processing unit
Murali Krishna Emani, Sudeep Mallick
US 8,869,125 B2
Systems and Methods for Demarcating Information Related to one or more Blocks in an Application
Murali Krishna Emani, Sudeep Mallick, Balkrishna Prasad
US 9,043,775
Method for Identifying Problematic Loops in an Application and Devices thereof
Murali Krishna Emani, Sudeep Mallick, Balkrishna Prasad