Akshitha Sriraman

566 total citations
17 papers, 382 citations indexed

About

Akshitha Sriraman is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture. According to data from OpenAlex, Akshitha Sriraman has authored 17 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Networks and Communications, 13 papers in Information Systems and 8 papers in Hardware and Architecture. Recurrent topics in Akshitha Sriraman's work include Cloud Computing and Resource Management (13 papers), Parallel Computing and Optimization Techniques (8 papers) and Advanced Data Storage Technologies (8 papers). Akshitha Sriraman is often cited by papers focused on Cloud Computing and Resource Management (13 papers), Parallel Computing and Optimization Techniques (8 papers) and Advanced Data Storage Technologies (8 papers). Akshitha Sriraman collaborates with scholars based in United States, India and United Kingdom. Akshitha Sriraman's co-authors include Thomas F. Wenisch, Abhishek Dhanotia, Joseph Devietti, Gilles Pokam, Heiner Litz, Baris Kasikci, Udit Gupta, Esha Choukse, Sreenivas Subramoney and Shiliang Hu and has published in prestigious journals such as IEEE Micro, IEEE Computer Architecture Letters and Operating Systems Design and Implementation.

In The Last Decade

Akshitha Sriraman

15 papers receiving 374 citations

Peers

Akshitha Sriraman
Antoine Kaufmann United States
Thomas W. Barr United States
Yizheng Jiao United States
Matthew J. Koop United States
Osman Sarood United States
Rishi Kapoor United States
Amirsaman Memaripour United States
Antoine Kaufmann United States
Akshitha Sriraman
Citations per year, relative to Akshitha Sriraman Akshitha Sriraman (= 1×) peers Antoine Kaufmann

Countries citing papers authored by Akshitha Sriraman

Since Specialization
Citations

This map shows the geographic impact of Akshitha Sriraman'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 Akshitha Sriraman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akshitha Sriraman more than expected).

Fields of papers citing papers by Akshitha Sriraman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Akshitha Sriraman. 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 Akshitha Sriraman. The network helps show where Akshitha Sriraman may publish in the future.

Co-authorship network of co-authors of Akshitha Sriraman

This figure shows the co-authorship network connecting the top 25 collaborators of Akshitha Sriraman. A scholar is included among the top collaborators of Akshitha Sriraman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Akshitha Sriraman. Akshitha Sriraman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Berger, Daniel S., Fiodar Kazhamiaka, Chaojie Zhang, et al.. (2025). Enabling Sustainable Cloud Computing With Low-Carbon Server Design. IEEE Micro. 45(4). 19–28.
2.
Berger, Daniel S., Fiodar Kazhamiaka, Chaojie Zhang, et al.. (2024). Designing Cloud Servers for Lower Carbon. 452–470. 13 indexed citations
3.
4.
Kanellopoulos, Konstantinos, et al.. (2024). Address Scaling: Architectural Support for Fine-Grained Thread-Safe Metadata Management. IEEE Computer Architecture Letters. 23(1). 69–72. 1 indexed citations
5.
Gupta, Udit, et al.. (2023). Peeling Back the Carbon Curtain: Carbon Optimization Challenges in Cloud Computing. 1–7. 19 indexed citations
6.
Patel, Pratyush, et al.. (2023). Towards Improved Power Management in Cloud GPUs. IEEE Computer Architecture Letters. 22(2). 141–144. 11 indexed citations
7.
Sriraman, Akshitha, et al.. (2022). Thermometer. 742–756. 9 indexed citations
8.
Zhang, Dexin, Akshitha Sriraman, Joseph Devietti, et al.. (2021). Ripple: Profile-Guided Instruction Cache Replacement for Data Center Applications. 734–747. 22 indexed citations
9.
Sriraman, Akshitha, Rakesh Kumar, Joseph Devietti, et al.. (2021). Twig: Profile-Guided BTB Prefetching for Data Center Applications. Duo Research Archive (University of Oslo). 816–829. 20 indexed citations
10.
Sriraman, Akshitha & Abhishek Dhanotia. (2021). Understanding Acceleration Opportunities at Hyperscale. IEEE Micro. 41(3). 34–41. 1 indexed citations
11.
Sriraman, Akshitha & Abhishek Dhanotia. (2020). Accelerometer. 733–750. 54 indexed citations
12.
Sriraman, Akshitha, et al.. (2020). I-SPY: Context-Driven Conditional Instruction Prefetching with Coalescing. 146–159. 29 indexed citations
13.
Sriraman, Akshitha, Abhishek Dhanotia, & Thomas F. Wenisch. (2019). SoftSKU. 513–526. 61 indexed citations
14.
Sriraman, Akshitha, et al.. (2019). Enhancing Server Efficiency in the Face of Killer Microseconds. 185–198. 27 indexed citations
15.
Sriraman, Akshitha & Thomas F. Wenisch. (2018). µtune: auto-tuned threading for OLDI microservices. Operating Systems Design and Implementation. 177–194. 33 indexed citations
16.
Sriraman, Akshitha & Thomas F. Wenisch. (2018). μ Suite: A Benchmark Suite for Microservices. 1–12. 61 indexed citations
17.
Sriraman, Akshitha, et al.. (2016). LASER: Light, Accurate Sharing dEtection and Repair. 261–273. 21 indexed citations

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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