John Cavazos

3.1k total citations · 1 hit paper
53 papers, 1.7k citations indexed

About

John Cavazos is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems. According to data from OpenAlex, John Cavazos has authored 53 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Hardware and Architecture, 25 papers in Computer Networks and Communications and 18 papers in Information Systems. Recurrent topics in John Cavazos's work include Parallel Computing and Optimization Techniques (37 papers), Embedded Systems Design Techniques (12 papers) and Software Engineering Research (11 papers). John Cavazos is often cited by papers focused on Parallel Computing and Optimization Techniques (37 papers), Embedded Systems Design Techniques (12 papers) and Software Engineering Research (11 papers). John Cavazos collaborates with scholars based in United States, United Kingdom and France. John Cavazos's co-authors include Michael O’Boyle, Robert Searles, Lifan Xu, Sameer G. Kulkarni, Grigori Fursin, Olivier Temam, Edwin V. Bonilla, Felix Agakov, Amir H. Ashouri and Gianluca Palermo and has published in prestigious journals such as PLoS ONE, ACM Computing Surveys and ACM SIGPLAN Notices.

In The Last Decade

John Cavazos

51 papers receiving 1.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Auto-tuning a high-level language targeted to GPU codes

2012 339 citations John Cavazos et al. profile →

Peers

Countries citing papers authored by John Cavazos

Since Specialization

Citations

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

Fields of papers citing papers by John Cavazos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Cavazos

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Efficient Characterization and Classification of Malware Using Deep Learning 2018 ·(unknown), (unknown), (unknown), John Cavazos	3
2	Large-scale exploration of feature sets and deep learning models to classify malicious applications 2017 ·(unknown), John Cavazos	2
3	Automatic Tuning of Compilers Using Machine Learning 2017 ·SpringerBriefs in applied sciences and technology ·Amir H. Ashouri, Gianluca Palermo, John Cavazos, Cristina Silvano	8
4	HSLOT: the HERCULES scriptable loop transformations engine 2014 ·IEEE International Conference on High Performance Computing, Data, and Analytics ·(unknown), Eun‐Jung Park, John Cavazos	1
5	Trace-Driven Memory Access Pattern Recognition in Computational Kernels 2014 ·Eun‐Jung Park, (unknown), (unknown), John Cavazos	2
6	HSLOT: The HERCULES Scriptable Loop Transformations Engine 2014 ·(unknown), Eun‐Jung Park, John Cavazos	1
7	Mitigating the compiler optimization phase-ordering problem using machine learning 2012 ·ACM SIGPLAN Notices ·Sameer G. Kulkarni, John Cavazos	25
8	Predictive modeling in a polyhedral optimization space 2011 ·Eun‐Jung Park, (unknown), John Cavazos, Albert Cohen, P. Sadayappan	28
9	GPGPU accelerated cardiac arrhythmia simulations 2011 ·PubMed ·Wei Wang, H. Howie Huang, Matthew W. Kay, John Cavazos	7
10	Towards Applying Machine Learning to Adaptive Transactional Memory 2011 ·Qingping Wang, Sameer G. Kulkarni, John Cavazos, Michael Spear	8
11	Predictive modeling in a polyhedral optimization space 2011 ·Eun‐Jung Park, (unknown), John Cavazos, Albert Cohen, P. Sadayappan	16
12	An evaluation of different modeling techniques for iterative compilation 2011 ·Eun‐Jung Park, Sameer G. Kulkarni, John Cavazos	35
13	DATE '08 Proceedings of the conference on Design, automation and test in Europe 2008 ·Timothy W. Jones, Sandro Bartolini, Bruno De Bus, John Cavazos, Michael O’Boyle	47
14	Intelligent compilers 2008 ·John Cavazos	7
15	Code Generation and Optimization, 2007. CGO '07. International Symposium on 2007 ·John Cavazos, Grigori Fursin, Felix Agakov, Edwin V. Bonilla, Michael O’Boyle, Olivier Temam	102
16	Intelligent selection of application-specific garbage collectors 2007 ·Jeremy Singer, Gavin Brown, Ian Watson, John Cavazos	25
17	Method-specific dynamic compilation using logistic regression 2006 ·John Cavazos, Michael O’Boyle	69
18	Automatic performance model construction for the fast software exploration of new hardware designs 2006 ·John Cavazos, Christophe Dubach, Felix Agakov, Edwin V. Bonilla, Michael O’Boyle, Grigori Fursin, Olivier Temam	62
19	Inducing heuristics to decide whether to schedule 2004 ·ACM SIGPLAN Notices ·John Cavazos, J. Eliot B. Moss	9
20	Learning to Schedule Straight-Line Code 1997 ·Neural Information Processing Systems ·J. Eliot B. Moss, Paul E. Utgoff, John Cavazos, Doina Precup, Darko Stefanović, Carla E. Brodley, (unknown)	42

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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