Jacqueline Chame

1.4k total citations
23 papers, 863 citations indexed

About

Jacqueline Chame is a scholar working on Hardware and Architecture, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Jacqueline Chame has authored 23 papers receiving a total of 863 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Hardware and Architecture, 19 papers in Computer Networks and Communications and 3 papers in Artificial Intelligence. Recurrent topics in Jacqueline Chame's work include Parallel Computing and Optimization Techniques (22 papers), Advanced Data Storage Technologies (16 papers) and Embedded Systems Design Techniques (6 papers). Jacqueline Chame is often cited by papers focused on Parallel Computing and Optimization Techniques (22 papers), Advanced Data Storage Technologies (16 papers) and Embedded Systems Design Techniques (6 papers). Jacqueline Chame collaborates with scholars based in United States and Pakistan. Jacqueline Chame's co-authors include Mary Hall, Jaewook Shin, Chun Chen, Jeffrey K. Hollingsworth, Chun Chen, Ananta Tiwari, Jeff Draper, John Granacki, Jeff LaCoss and Craig S. Steele and has published in prestigious journals such as ACM SIGMETRICS Performance Evaluation Review, The Journal of Supercomputing and The International Journal of High Performance Computing Applications.

In The Last Decade

Jacqueline Chame

23 papers receiving 807 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jacqueline Chame United States 12 753 580 183 153 127 23 863
Albert Hartono United States 8 778 1.0× 579 1.0× 72 0.4× 171 1.1× 108 0.9× 9 894
Alexandre E. Eichenberger United States 20 894 1.2× 721 1.2× 103 0.6× 102 0.7× 140 1.1× 50 996
Nicolas Vasilache United States 11 584 0.8× 360 0.6× 103 0.6× 206 1.3× 87 0.7× 16 763
François Bodin France 17 798 1.1× 583 1.0× 83 0.5× 229 1.5× 197 1.6× 59 946
Jeffrey S. Kuskin United States 11 788 1.0× 812 1.4× 227 1.2× 66 0.4× 113 0.9× 17 1.0k
Kevin B. Theobald United States 12 850 1.1× 882 1.5× 147 0.8× 148 1.0× 220 1.7× 30 1.1k
Marco Zagha United States 11 536 0.7× 486 0.8× 68 0.4× 154 1.0× 71 0.6× 14 635
Kevin O’Brien United States 13 575 0.8× 488 0.8× 86 0.5× 58 0.4× 108 0.9× 30 647
Allan Porterfield United States 16 1.2k 1.6× 1.2k 2.0× 194 1.1× 91 0.6× 318 2.5× 34 1.4k

Countries citing papers authored by Jacqueline Chame

Since Specialization
Citations

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

Fields of papers citing papers by Jacqueline Chame

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacqueline Chame

This figure shows the co-authorship network connecting the top 25 collaborators of Jacqueline Chame. A scholar is included among the top collaborators of Jacqueline Chame 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 Jacqueline Chame. Jacqueline Chame 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.
Khan, Malik M., Protonu Basu, Gabe Rudy, et al.. (2013). A script-based autotuning compiler system to generate high-performance CUDA code. ACM Transactions on Architecture and Code Optimization. 9(4). 1–25. 37 indexed citations
2.
Kunaseth, Manaschai, Ken‐ichi Nomura, Jacqueline Chame, et al.. (2012). Hierarchical parallelization and optimization of high-order stencil computations on multicore clusters. The Journal of Supercomputing. 62(2). 946–966. 14 indexed citations
3.
Shin, Jaewook, Mary Hall, Jacqueline Chame, et al.. (2010). Speeding up Nek5000 with autotuning and specialization. 253–262. 29 indexed citations
4.
Shin, Jaewook, Mary Hall, & Jacqueline Chame. (2009). Evaluating compiler technology for control-flow optimizations for multimedia extension architectures. Microprocessors and Microsystems. 33(4). 235–243. 11 indexed citations
5.
Chen, Chun, et al.. (2007). Compiler-assisted performance tuning. Journal of Physics Conference Series. 78. 12024–12024. 5 indexed citations
6.
Chen, Chun, Jaewook Shin, Shiva Kintali, Jacqueline Chame, & Mary Hall. (2007). Model-Guided Empirical Optimization for Multimedia Extension Architectures: A Case Study. 16. 1–8. 9 indexed citations
7.
Adibi, Jafar, et al.. (2006). Processing-in-memory technology for knowledge discovery algorithms. 2–2. 5 indexed citations
8.
Chen, Chun, Jacqueline Chame, & Mary Hall. (2005). Combining Models and Guided Empirical Search to Optimize for Multiple Levels of the Memory Hierarchy. 111–122. 84 indexed citations
9.
Shin, Jaewook, Mary Hall, & Jacqueline Chame. (2005). Superword-Level Parallelism in the Presence of Control Flow. 165–175. 97 indexed citations
10.
Chame, Jacqueline, Chun Chen, Pedro C. Diniz, et al.. (2004). ECO: an empirical-based compilation and optimization system. 9–9. 10 indexed citations
11.
Shin, Jaewook, Jacqueline Chame, & Mary Hall. (2003). Exploiting superword-level locality in multimedia extension architectures. 5. 9 indexed citations
12.
Shin, Jaewook, Jacqueline Chame, & Mary Hall. (2003). Compiler-controlled caching in superword register files for multimedia extension architectures. 45–55. 9 indexed citations
13.
Draper, Jeff, Jacqueline Chame, Mary Hall, et al.. (2002). The architecture of the DIVA processing-in-memory chip. 14–25. 150 indexed citations
14.
Draper, Jeff, Jacqueline Chame, Mary Hall, et al.. (2002). The architecture of the DIVA processing-in-memory chip. 14–14. 2 indexed citations
15.
Hall, Mary, Peter M. Kogge, J.G. Koller, et al.. (1999). Mapping irregular applications to DIVA, a PIM-based data-intensive architecture. 57–57. 135 indexed citations
16.
Chame, Jacqueline, et al.. (1999). A tile selection algorithm for data locality and cache interference. 492–499. 46 indexed citations
17.
Saavedra, Rafael H. & Jacqueline Chame. (1997). A compiler analysis of cache interference and its applications to compiler optimizations. 2 indexed citations
18.
Saavedra, Rafael H., et al.. (1996). The combined effectiveness of unimodular transformations, tiling, and software prefetching. 39–45. 17 indexed citations
19.
Chame, Jacqueline & Michel Dubois. (1993). Cache inclusion and processor sampling in multiprocessor simulations. ACM SIGMETRICS Performance Evaluation Review. 21(1). 36–47. 3 indexed citations
20.
Chame, Jacqueline & Michel Dubois. (1993). Cache inclusion and processor sampling in multiprocessor simulations. 36–47. 13 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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