Naga K. Govindaraju
Computer Graphics and Computer-Aided Design · 2003–2009
A researcher in the Science corpus: 10 papers; trusts 21 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Computer Graphics and Computer-Aided Design — 38 citations into it
- Computer Networks and Communications — 37 citations into it; #4,629 of 9,886 by trust here, #1,714 by citations
- Computer Vision and Pattern Recognition — 27 citations into it; #18,588 of 21,575 by trust here, #7,584 by citations
- Hardware and Architecture — 26 citations into it
- Signal Processing — 15 citations into it; #4,017 of 7,572 by trust here, #2,001 by citations
- Artificial Intelligence — 11 citations into it; #29,529 of 35,345 by trust here, #12,387 by citations
- Computational Theory and Mathematics — 9 citations into it
- Algorithms & Complexity — 7 citations into it
Whom Naga K. Govindaraju trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- S. Muthu Muthukrishnan
- Timothy J. Purcell
- Graham Cormode
- Arvind Arasu
- Moses Charikar
- Dinesh Manocha
- Mayur Datar
- Lise Getoor
- Jingren Zhou
- William R. Mark
Who trusts Naga K. Govindaraju overall
- Bingsheng He
- Shuai Che
- André Rigland Brodtkorb
- Shucai Xiao
- Tim Dettmers
- Jim Gray
- Changkyu Kim
- Wenbin Fang
- Dinesh Manocha
- Yi Yang
Papers from Naga K. Govindaraju's perspective
Ordered by how strongly the researchers Naga K. Govindaraju trusts endorse each paper. Same corpus, a different order for every researcher.
- Finding frequent items in data streams
- Maintaining Stream Statistics over Sliding Windows (SIAM journal on computing (Print))
- Space-efficient online computation of quantile summaries
- Frequency Estimation of Internet Packet Streams with Limited Space (Embedded Systems and Applications)
- What's hot and what's not: tracking most frequent items dynamically (ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems)
- Neural Networks for Pattern Recognition
- Data streams: algorithms and applications (ACM-SIAM Symposium on Discrete Algorithms)
- Introduction to algorithms
- Cg: a system for programming graphics hardware in a C-like language (ACM Transactions on Graphics)
- Stable fluids
Their papers
- A Survey of General‐Purpose Computation on Graphics Hardware (2007) — 2,619 citations
- Fast and approximate stream mining of quantiles and frequencies using graphics processors (2005) — 146 citations
- Mars: A MapReduce Framework on graphics processors (2008) — 838 citations
- High performance discrete Fourier transforms on graphics processors (2008) — 330 citations
- Relational query coprocessing on graphics processors (2009) — 307 citations
- Relational joins on graphics processors (2008) — 392 citations
- GPUTeraSort: high performance graphics co-processor sorting for large database management (2006) — 496 citations
- Fast computation of database operations using graphics processors (2004) — 359 citations
- GPGPU: general purpose computation on graphics hardware (2004) — 323 citations
- CULLIDE: interactive collision detection between complex models in large environments using graphics hardware (2003) — 304 citations