Esha Choukse

According to our database, Esha Choukse authored at least 16 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Towards Greener LLMs: Bringing Energy-Efficiency to the Forefront of LLM Inference.

Jovan Stojkovic, Esha Choukse, Chaojie Zhang, Íñigo Goiri, Josep Torrellas

CoRR, 2024

Junctiond: Extending FaaS Runtimes with Kernel-Bypass.

Enrique Saurez, Joshua Fried, Gohar Irfan Chaudhry, Esha Choukse, Íñigo Goiri, Sameh Elnikety, Adam Belay, Rodrigo Fonseca

CoRR, 2024

Making Kernel Bypass Practical for the Cloud with Junction.

Joshua Fried, Gohar Irfan Chaudhry, Enrique Saurez, Esha Choukse, Íñigo Goiri, Sameh Elnikety, Rodrigo Fonseca, Adam Belay

Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation, 2024

Characterizing Power Management Opportunities for LLMs in the Cloud.

Pratyush Patel, Esha Choukse, Chaojie Zhang, Íñigo Goiri, Brijesh Warrier, Nithish Mahalingam, Ricardo Bianchini

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

Splitwise: Efficient generative LLM inference using phase splitting.

Pratyush Patel, Esha Choukse, Chaojie Zhang, Íñigo Goiri, Aashaka Shah, Saeed Maleki, Ricardo Bianchini

CoRR, 2023

POLCA: Power Oversubscription in LLM Cloud Providers.

Pratyush Patel, Esha Choukse, Chaojie Zhang, Íñigo Goiri, Brijesh Warrier, Nithish Mahalingam, Ricardo Bianchini

CoRR, 2023

Towards Improved Power Management in Cloud GPUs.

Pratyush Patel, Zibo Gong, Syeda Rizvi, Esha Choukse, Pulkit A. Misra, Thomas E. Anderson, Akshitha Sriraman

IEEE Comput. Archit. Lett., 2023

Myths and Misconceptions Around Reducing Carbon Embedded in Cloud Platforms.

Jialun Lyu, Jaylen Wang, Kali Frost, Chaojie Zhang, Celine Irvene, Esha Choukse, Rodrigo Fonseca, Ricardo Bianchini, Fiodar Kazhamiaka, Daniel S. Berger

Proceedings of the 2nd Workshop on Sustainable Computer Systems, 2023

2022

Overclocking in Immersion-Cooled Datacenters.

Pulkit A. Misra, Ioannis Manousakis, Esha Choukse, Majid Jalili, Iñigo Goiri, Ashish Raniwala, Brijesh Warrier, Husam Alissa, Bharath Ramakrishnan, Phillip Tuma, Christian Belady, Marcus Fontoura, Ricardo Bianchini

IEEE Micro, 2022

Translation-optimized Memory Compression for Capacity.

Gagandeep Panwar, Muhammad Laghari, David Bears, Yuqing Liu, Chandler Jearls, Esha Choukse, Kirk W. Cameron, Ali Raza Butt, Xun Jian

Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture, 2022

2020

Buddy Compression: Enabling Larger Memory for Deep Learning and HPC Workloads on GPUs.

Esha Choukse, Michael B. Sullivan, Mike O'Connor, Mattan Erez, Jeff Pool, David W. Nellans, Stephen W. Keckler

Proceedings of the 47th ACM/IEEE Annual International Symposium on Computer Architecture, 2020

2019

PruneTrain: Gradual Structured Pruning from Scratch for Faster Neural Network Training.

Sangkug Lym, Esha Choukse, Siavash Zangeneh, Wei Wen, Mattan Erez, Sujay Shanghavi

CoRR, 2019

PruneTrain: fast neural network training by dynamic sparse model reconfiguration.

Sangkug Lym, Esha Choukse, Siavash Zangeneh, Wei Wen, Sujay Sanghavi, Mattan Erez

Proceedings of the International Conference for High Performance Computing, 2019

2018

CompressPoints: An Evaluation Methodology for Compressed Memory Systems.

Esha Choukse, Mattan Erez, Alaa R. Alameldeen

IEEE Comput. Archit. Lett., 2018

Compresso: Pragmatic Main Memory Compression.

Esha Choukse, Mattan Erez, Alaa R. Alameldeen

Proceedings of the 51st Annual IEEE/ACM International Symposium on Microarchitecture, 2018

2016

Bit-Plane Compression: Transforming Data for Better Compression in Many-Core Architectures.

Jungrae Kim, Michael B. Sullivan, Esha Choukse, Mattan Erez

Proceedings of the 43rd ACM/IEEE Annual International Symposium on Computer Architecture, 2016