Matt Poremba

547 total citations
11 papers, 403 citations indexed

About

Matt Poremba is a scholar working on Computer Networks and Communications, Hardware and Architecture and Electrical and Electronic Engineering. According to data from OpenAlex, Matt Poremba has authored 11 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Networks and Communications, 9 papers in Hardware and Architecture and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Matt Poremba's work include Parallel Computing and Optimization Techniques (9 papers), Interconnection Networks and Systems (6 papers) and Advanced Data Storage Technologies (5 papers). Matt Poremba is often cited by papers focused on Parallel Computing and Optimization Techniques (9 papers), Interconnection Networks and Systems (6 papers) and Advanced Data Storage Technologies (5 papers). Matt Poremba collaborates with scholars based in United States, China and Taiwan. Matt Poremba's co-authors include Yuan Xie, Sparsh Mittal, Dong Li, Jeffrey S. Vetter, Cong Xu, Guangyu Sun, Tao Zhang, Guangyu Sun, Jishen Zhao and Yi Xu and has published in prestigious journals such as National Science Review, ACM Transactions on Architecture and Code Optimization and Rare & Special e-Zone (The Hong Kong University of Science and Technology).

In The Last Decade

Matt Poremba

11 papers receiving 395 citations

Peers

Matt Poremba

EEE

HA

CNC

AI

CVPR

Hongil Yoon South Korea

Yuhao Wang Singapore

Luan H. K. Duong Hong Kong

S. Karen Khatamifard United States

Asif Ali Khan Germany

Emre Kültürsay United States

Matthew Poremba United States

Fazal Hameed Germany

Mayler G. A. Martins Brazil

Hamed Farbeh Iran

Hongil Yoon South Korea

Matt Poremba

255 ×1.0

EEE

104 ×0.5

HA

117 ×0.5

CNC

18 ×0.4

AI

30 ×0.7

CVPR

Citations per year, relative to Matt Poremba Matt Poremba (= 1×) peers Hongil Yoon

Countries citing papers authored by Matt Poremba

Since Specialization

Citations

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

Fields of papers citing papers by Matt Poremba

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matt Poremba

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

All Works

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11 of 11 papers shown

1.

Sun, Guangyu, Jishen Zhao, Matt Poremba, Cong Xu, & Yuan Xie. (2017). Memory that never forgets: emerging nonvolatile memory and the implication for architecture design. National Science Review. 5(4). 577–592. 23 indexed citations

2.

Poremba, Matt, Sparsh Mittal, Dong Li, Jeffrey S. Vetter, & Yuan Xie. (2015). DESTINY: a tool for modeling emerging 3D NVM and eDRAM caches. Design, Automation, and Test in Europe. 1543–1546. 69 indexed citations

3.

Mittal, Sparsh, et al.. (2015). Exploring Design Space of 3D NVM and eDRAM Caches Using DESTINY Tool (open-source code). 2 indexed citations

4.

Cheng, Hsiang-Yun, Matt Poremba, M.J. Irwin, et al.. (2015). EECache. ACM Transactions on Architecture and Code Optimization. 12(2). 1–22. 6 indexed citations

5.

Poremba, Matt, Sparsh Mittal, Dong Li, Jeffrey S. Vetter, & Yuan Xie. (2015). DESTINY: A Tool for Modeling Emerging 3D NVM and eDRAM caches. Design, Automation & Test in Europe Conference & Exhibition (DATE), 2015. 1543–1546. 94 indexed citations

6.

Cheng, Hsiang-Yun, Matt Poremba, M.J. Irwin, et al.. (2014). EECache. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 303–306. 6 indexed citations

7.

Zou, Qiaosha, et al.. (2014). Designing vertical bandwidth reconfigurable 3D NoCs for many core systems. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 34. 1–7. 1 indexed citations

8.

Poremba, Matt, et al.. (2014). NoΔ: Leveraging delta compression for end-to-end memory access in NoC based multicores. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 586–591. 12 indexed citations

9.

Zhang, Tao, Matt Poremba, Cong Xu, Guangyu Sun, & Yuan Xie. (2014). CREAM: A Concurrent-Refresh-Aware DRAM Memory architecture. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 368–379. 35 indexed citations

10.

Chang, Yuan-Ying, et al.. (2013). TS-Router: On maximizing the Quality-of-Allocation in the On-Chip Network. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 390–399. 20 indexed citations

11.

Poremba, Matt & Yuan Xie. (2012). NVMain: An Architectural-Level Main Memory Simulator for Emerging Non-volatile Memories. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 392–397. 135 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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