Esha Choukse

662 citations
25 papers · 339 · 2 hit papers · h-index 10

Impact in

Papers in

Esha Choukse

22 papers receiving 333 citations

Esha Choukse's Hit Papers

DynamoLLM: Designing LLM Inference Clusters for Performance and Energy Efficiency 2025 · 22 citations
220+1Years since publication255075

Peers

Esha Choukse
Comparison fields: 5 of 46
  • Hardware and Architecture 154
  • Computer Networks and Communications 173
  • Information Systems 65
  • Artificial Intelligence 79
  • Computer Vision and Pattern Recognition 38
Replace Marco Lattuada with:
Marco Lattuada Italy
Bettina Schnor Germany
Jingweijia Tan China
Ramesh Peri United States
Newsha Ardalani United States
Jalil Boukhobza France
Tongxin Bai United States
Daniel A. Connors United States
Yuebin Bai China
Mark Zhao United States
Esha Choukse relative to Marco Lattuada Italy Marco Lattuada's profile →
Citations per field
00.5×7.3×
Marco Lattuada · 1×
Citations per year

Countries citing papers authored by Esha Choukse

Since Specialization
Citations

This map shows the geographic impact of Esha Choukse's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Esha Choukse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Esha Choukse more than expected).

Fields of papers citing papers by Esha Choukse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Esha Choukse. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Esha Choukse. The network helps show where Esha Choukse may publish in the future.

Co-authors

The 25 scholars most cited alongside Esha Choukse, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Esha Choukse Line = papers co-authored together Esha Choukse links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Splitwise: Efficient Generative LLM Inference Using Phase Splitting
Hit paper breakdown →
202478
2 201660
3 201640
4 202431
5 201822
6
DynamoLLM: Designing LLM Inference Clusters for Performance and Energy Efficiency
Hit paper breakdown →
202522
7 202420
8 202314
9 202311
10 20229
11 20256
12 20225
13 20184
14
PruneTrain: Gradual Structured Pruning from Scratch for Faster Neural Network Training.
20194
15 20243
16 20242
17 20252
18 20252
19 20251
20 20241

About Esha Choukse

Esha Choukse is a scholar working on Computer Networks and Communications, Information Systems, Hardware and Architecture, Artificial Intelligence and Electrical and Electronic Engineering, having authored 25 papers that have together received 339 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (13 papers), Parallel Computing and Optimization Techniques (12 papers), Advanced Data Storage Technologies (10 papers), Algorithms and Data Compression (4 papers), Green IT and Sustainability (3 papers), Distributed and Parallel Computing Systems (3 papers), Software System Performance and Reliability (2 papers) and IoT and Edge/Fog Computing (2 papers). The work is most often cited by research in Hardware and Architecture (154 citations), Computer Networks and Communications (173 citations), Information Systems (65 citations), Artificial Intelligence (79 citations) and Computer Vision and Pattern Recognition (38 citations). Esha Choukse has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Mattan Erez, Michael B. Sullivan, Jung Rae Kim, Íñigo Goiri, Ricardo Bianchini, Pratyush Patel, Saeed Maleki, Alaa R. Alameldeen, Josep Torrellas and Rodrigo Fonseca. Their work appears in journals such as IEEE Micro, IEEE Computer Architecture Letters, ACM SIGMETRICS Performance Evaluation Review, Joule and ACM SIGARCH Computer Architecture News.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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