Lavanya Subramanian

2.3k total citations
25 papers, 1.5k citations indexed

About

Lavanya Subramanian is a scholar working on Hardware and Architecture, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Lavanya Subramanian has authored 25 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Hardware and Architecture, 16 papers in Computer Networks and Communications and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Lavanya Subramanian's work include Parallel Computing and Optimization Techniques (21 papers), Advanced Data Storage Technologies (12 papers) and Advanced Memory and Neural Computing (9 papers). Lavanya Subramanian is often cited by papers focused on Parallel Computing and Optimization Techniques (21 papers), Advanced Data Storage Technologies (12 papers) and Advanced Memory and Neural Computing (9 papers). Lavanya Subramanian collaborates with scholars based in United States, Switzerland and China. Lavanya Subramanian's co-authors include Onur Mutlu, Vivek Seshadri, Rachata Ausavarungnirun, Kevin K. Chang, Yoongu Kim, Donghyuk Lee, Gabriel H. Loh, Thomas Moscibroda, Sai Prashanth Muralidhara and Mahmut Kandemir and has published in prestigious journals such as IEEE Transactions on Parallel and Distributed Systems, ACM SIGPLAN Notices and ACM SIGMETRICS Performance Evaluation Review.

In The Last Decade

Lavanya Subramanian

25 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lavanya Subramanian United States 17 1.2k 1.1k 498 416 126 25 1.5k
Djordje Jevdjic United States 17 1.3k 1.1× 1.0k 0.9× 256 0.5× 764 1.8× 115 0.9× 26 1.5k
Donald Yeung United States 21 1.3k 1.1× 1.4k 1.2× 392 0.8× 254 0.6× 115 0.9× 72 1.6k
Jae W. Lee South Korea 16 645 0.5× 639 0.6× 328 0.7× 158 0.4× 180 1.4× 54 953
Nuwan Jayasena United States 18 1.1k 0.9× 1.2k 1.0× 417 0.8× 238 0.6× 127 1.0× 33 1.5k
Eiman Ebrahimi United States 23 1.4k 1.2× 1.4k 1.2× 448 0.9× 460 1.1× 172 1.4× 29 1.8k
Onur Kayıran United States 19 1.2k 1.0× 1.3k 1.1× 334 0.7× 378 0.9× 76 0.6× 34 1.4k
Allan Porterfield United States 16 1.2k 1.0× 1.2k 1.1× 194 0.4× 318 0.8× 91 0.7× 34 1.4k
Bülent Abali United States 19 1.6k 1.3× 1.2k 1.1× 425 0.9× 656 1.6× 197 1.6× 41 1.8k
Zeshan Chishti United States 21 1.3k 1.2× 1.6k 1.4× 1.1k 2.1× 203 0.5× 158 1.3× 40 2.1k
Trevor E. Carlson Singapore 16 1.0k 0.9× 1.2k 1.1× 546 1.1× 199 0.5× 150 1.2× 75 1.5k

Countries citing papers authored by Lavanya Subramanian

Since Specialization
Citations

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

Fields of papers citing papers by Lavanya Subramanian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lavanya Subramanian

This figure shows the co-authorship network connecting the top 25 collaborators of Lavanya Subramanian. A scholar is included among the top collaborators of Lavanya Subramanian 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 Lavanya Subramanian. Lavanya Subramanian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Subramanian, Lavanya, et al.. (2024). SlimSLAM: An Adaptive Runtime for Visual-Inertial Simultaneous Localization and Mapping. 900–915. 1 indexed citations
2.
Subramanian, Lavanya, et al.. (2022). FARSI: An Early-stage Design Space Exploration Framework to Tame the Domain-specific System-on-chip Complexity. ACM Transactions on Embedded Computing Systems. 22(2). 1–35. 11 indexed citations
3.
Cali, Damla Senol, Can Fırtına, Lavanya Subramanian, et al.. (2021). GenASM: a high-performance, low-power approximate string matching acceleration framework for genome sequence analysis. Bilkent University Institutional Repository (Bilkent University). 65 indexed citations
4.
Subramanian, Lavanya, et al.. (2019). GrandSLAm. 1–16. 109 indexed citations
5.
Subramanian, Lavanya, et al.. (2018). Closed yet Open DRAM: Achieving Low Latency and High Performance in DRAM Memory Systems. 65. 1–6. 3 indexed citations
6.
Subramanian, Lavanya, et al.. (2018). Tackling memory access latency through DRAM row management. 137–147. 10 indexed citations
7.
Mutlu, Onur, Justin Meza, & Lavanya Subramanian. (2018). The Main Memory System: Challenges and Opportunities. Research Showcase @ Carnegie Mellon University (Carnegie Mellon University). 33(2). 16–41. 4 indexed citations
8.
Lee, Donghyuk, Samira Khan, Lavanya Subramanian, et al.. (2017). Design-Induced Latency Variation in Modern DRAM Chips. Proceedings of the ACM on Measurement and Analysis of Computing Systems. 1(1). 1–36. 21 indexed citations
9.
Lee, Donghyuk, Samira Khan, Lavanya Subramanian, et al.. (2017). Design-Induced Latency Variation in Modern DRAM Chips. 54–54. 42 indexed citations
10.
Usui, Hiroyuki, Lavanya Subramanian, Kevin K. Chang, & Onur Mutlu. (2016). DASH. ACM Transactions on Architecture and Code Optimization. 12(4). 1–28. 64 indexed citations
11.
Subramanian, Lavanya, et al.. (2016). BLISS: Balancing Performance, Fairness and Complexity in Memory Access Scheduling. IEEE Transactions on Parallel and Distributed Systems. 27(10). 3071–3087. 57 indexed citations
12.
Lee, Donghyuk, Lavanya Subramanian, Rachata Ausavarungnirun, Jongmoo Choi, & Onur Mutlu. (2015). Decoupled Direct Memory Access: Isolating CPU and IO Traffic by Leveraging a Dual-Data-Port DRAM. 174–187. 68 indexed citations
13.
Subramanian, Lavanya, et al.. (2015). The application slowdown model. 62–75. 108 indexed citations
14.
Isci, Canturk, et al.. (2015). A-DRM. 93–106. 23 indexed citations
15.
Mutlu, Onur & Lavanya Subramanian. (2014). Research Problems and Opportunities in Memory Systems. Supercomputing Frontiers and Innovations. 1(3). 104 indexed citations
16.
Subramanian, Lavanya, et al.. (2014). The Blacklisting Memory Scheduler: Achieving high performance and fairness at low cost. 8–15. 64 indexed citations
17.
Subramanian, Lavanya, et al.. (2013). MISE: Providing performance predictability and improving fairness in shared main memory systems. Figshare. 639–650. 123 indexed citations
18.
Lee, Dong‐Hyuk, Yoongu Kim, Vivek Seshadri, et al.. (2013). Tiered-latency DRAM: A low latency and low cost DRAM architecture. Figshare. 615–626. 182 indexed citations
19.
Ausavarungnirun, Rachata, Kevin K. Chang, Lavanya Subramanian, Gabriel H. Loh, & Onur Mutlu. (2012). Staged memory scheduling: Achieving high performance and scalability in heterogeneous systems. Figshare. 416–427. 75 indexed citations
20.
Muralidhara, Sai Prashanth, Lavanya Subramanian, Onur Mutlu, Mahmut Kandemir, & Thomas Moscibroda. (2011). Reducing memory interference in multicore systems via application-aware memory channel partitioning. 374–385. 209 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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