Anand Venkat

434 total citations
12 papers, 223 citations indexed

About

Anand Venkat is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Anand Venkat has authored 12 papers receiving a total of 223 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Hardware and Architecture, 5 papers in Computer Networks and Communications and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Anand Venkat's work include Parallel Computing and Optimization Techniques (11 papers), Embedded Systems Design Techniques (5 papers) and Interconnection Networks and Systems (3 papers). Anand Venkat is often cited by papers focused on Parallel Computing and Optimization Techniques (11 papers), Embedded Systems Design Techniques (5 papers) and Interconnection Networks and Systems (3 papers). Anand Venkat collaborates with scholars based in United States and United Kingdom. Anand Venkat's co-authors include Mary Hall, Michelle Mills Strout, Manu Shantharam, Protonu Basu, Samuel Williams, Brian Van Straalen, Leonid Oliker, Alexander Heinecke, Evangelos Georganas and Greg Henry and has published in prestigious journals such as ACM SIGPLAN Notices, The International Journal of High Performance Computing Applications and eScholarship (California Digital Library).

In The Last Decade

Anand Venkat

12 papers receiving 217 citations

Peers

Anand Venkat
Hongbo Rong United States
Martin Kong United States
William S. Moses United States
Charith Mendis United States
Nikolay Mateev United States
Gabriel Rodríguez Spain
Flavio Vella Italy
Amy W. Lim United States
Martin Griebl Germany
Denis Barthou France
Hongbo Rong United States
Anand Venkat
Citations per year, relative to Anand Venkat Anand Venkat (= 1×) peers Hongbo Rong

Countries citing papers authored by Anand Venkat

Since Specialization
Citations

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

Fields of papers citing papers by Anand Venkat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anand Venkat

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

All Works

12 of 12 papers shown
1.
Venkat, Anand, et al.. (2021). Predictive data locality optimization for higher-order tensor computations. 43–52. 1 indexed citations
2.
Georganas, Evangelos, Kunal Banerjee, Dhiraj Kalamkar, et al.. (2020). Harnessing Deep Learning via a Single Building Block. 222–233. 16 indexed citations
3.
Venkat, Anand, et al.. (2019). SWIRL: High-performance many-core CPU code generation for deep neural networks. The International Journal of High Performance Computing Applications. 33(6). 1275–1289. 13 indexed citations
4.
Venkat, Anand, et al.. (2019). ISA mapper. 164–173. 5 indexed citations
5.
Kaleem, Rashid, Anand Venkat, Sreepathi Pai, Mary Hall, & Keshav Pingali. (2016). Synchronization Trade-Offs in GPU Implementations of Graph Algorithms. 514–523. 10 indexed citations
6.
Venkat, Anand, Jongsoo Park, Hongbo Rong, et al.. (2016). Automating Wavefront Parallelization for Sparse Matrix Computations. UA Campus Repository (The University of Arizona). 480–491. 15 indexed citations
7.
Venkat, Anand, Mary Hall, & Michelle Mills Strout. (2015). Loop and data transformations for sparse matrix code. 521–532. 57 indexed citations
8.
Venkat, Anand, Mary Hall, & Michelle Mills Strout. (2015). Loop and data transformations for sparse matrix code. ACM SIGPLAN Notices. 50(6). 521–532. 17 indexed citations
9.
Venkat, Anand, Manu Shantharam, Mary Hall, & Michelle Mills Strout. (2014). Non-affine Extensions to Polyhedral Code Generation. 185–194. 25 indexed citations
10.
Venkat, Anand, Manu Shantharam, Mary Hall, & Michelle Mills Strout. (2014). Non-affine Extensions to Polyhedral Code Generation. 185–194. 24 indexed citations
11.
Basu, Protonu, Anand Venkat, Mary Hall, et al.. (2013). Compiler generation and autotuning of communication-avoiding operators for geometric multigrid. eScholarship (California Digital Library). 452–461. 25 indexed citations
12.
Basu, Protonu, Mary Hall, Malik M. Khan, et al.. (2013). Towards making autotuning mainstream. The International Journal of High Performance Computing Applications. 27(4). 379–393. 15 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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