David Glasco

728 total citations · 1 hit paper
13 papers, 533 citations indexed

About

David Glasco is a scholar working on Computer Networks and Communications, Hardware and Architecture and Electrical and Electronic Engineering. According to data from OpenAlex, David Glasco has authored 13 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 11 papers in Hardware and Architecture and 2 papers in Electrical and Electronic Engineering. Recurrent topics in David Glasco's work include Parallel Computing and Optimization Techniques (11 papers), Distributed systems and fault tolerance (6 papers) and Advanced Data Storage Technologies (6 papers). David Glasco is often cited by papers focused on Parallel Computing and Optimization Techniques (11 papers), Distributed systems and fault tolerance (6 papers) and Advanced Data Storage Technologies (6 papers). David Glasco collaborates with scholars based in United States, Slovakia and United Kingdom. David Glasco's co-authors include Stephen W. Keckler, Michael Garland, Brucek Khailany, William J. Dally, Michael Flynn, Michael G. Flynn, Michael Flynn, James L. Peterson, Gary D. Carpenter and Bishop Brock and has published in prestigious journals such as IBM Journal of Research and Development, IEEE Micro and OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).

In The Last Decade

David Glasco

12 papers receiving 492 citations

Hit Papers

GPUs and the Future of Parallel Computing 2011 2026 2016 2021 2011 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Glasco United States 5 311 289 193 73 67 13 533
Ho-Seop Kim United States 8 368 1.2× 354 1.2× 134 0.7× 81 1.1× 62 0.9× 10 509
Perhaad Mistry United States 10 482 1.5× 439 1.5× 178 0.9× 52 0.7× 87 1.3× 18 648
Martin Ohmacht United States 9 474 1.5× 524 1.8× 159 0.8× 53 0.7× 80 1.2× 20 711
Amin Farmahini-Farahani United States 12 270 0.9× 266 0.9× 225 1.2× 139 1.9× 40 0.6× 27 532
Richard Veras United States 6 540 1.7× 419 1.4× 334 1.7× 84 1.2× 61 0.9× 11 698
Jesús Corbal Spain 11 461 1.5× 436 1.5× 208 1.1× 83 1.1× 57 0.9× 19 660
S. Asano Japan 7 349 1.1× 272 0.9× 226 1.2× 35 0.5× 21 0.3× 14 575
Yang Ni United States 11 312 1.0× 385 1.3× 76 0.4× 60 0.8× 42 0.6× 37 534
Peng Du China 11 234 0.8× 322 1.1× 167 0.9× 39 0.5× 63 0.9× 34 496
Jeremy S. Meredith United States 11 564 1.8× 544 1.9× 88 0.5× 69 0.9× 188 2.8× 19 737

Countries citing papers authored by David Glasco

Since Specialization
Citations

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

Fields of papers citing papers by David Glasco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Glasco

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

All Works

13 of 13 papers shown
1.
Keckler, Stephen W., William J. Dally, Brucek Khailany, Michael Garland, & David Glasco. (2011). GPUs and the Future of Parallel Computing. IEEE Micro. 31(5). 7–17. 486 indexed citations breakdown →
2.
Glasco, David, et al.. (2003). Multiprocessor architecture using an audit trail for fault tolerance. 40–47. 4 indexed citations
3.
Glasco, David, et al.. (2002). Write grouping for update-based cache coherence protocols. 334–341.
4.
Glasco, David, et al.. (2001). Novel checkpointing algorithm for fault tolerance on a tightly-coupled multiprocessor. 1 indexed citations
5.
Brock, Bishop, Gary D. Carpenter, Eli Chiprout, et al.. (2001). Experience with building a commodity Intel-based ccNUMA system. IBM Journal of Research and Development. 45(2). 207–227. 5 indexed citations
6.
Brock, Bishop, Gary D. Carpenter, Eli Chiprout, et al.. (1999). Windows NT in a ccNUMA system. 7–7. 3 indexed citations
7.
Glasco, David, et al.. (1998). ABSS v2.0: a SPARC Simulator. 12 indexed citations
8.
Glasco, David, et al.. (1998). Hardware-assisted Algorithms for Checkpoints. 2 indexed citations
9.
Glasco, David, et al.. (1997). Fault Tolerance: Methods of Rollback Recovery. 2 indexed citations
10.
Glasco, David, et al.. (1994). Update-based cache coherence protocols for scalable shared-memory multiprocessors. 12. 534–545. 12 indexed citations
11.
Glasco, David, et al.. (1994). Design and Validation of Update-Based Cache Coherence Protocols. 2 indexed citations
12.
Glasco, David, et al.. (1994). The Impact of Cache Coherence Protocols on Systems using Fine-Grain Data Synchronization. 79–88. 2 indexed citations
13.
Rader, Charles M., et al.. (1990). MUSE - a systolic array for adaptive nulling with 64 degrees of freedom, using Givens transformations and wafer-scale integration. Technical report. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2 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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