Jack J. Dongarra

Computer Networks and Communications · 1990–2019

A researcher in the Science corpus: 32 papers; trusts 15 researchers and is trusted by 46 researchers here, as inferred from the citation graph.

Subfields

• Computer Networks and Communications — 36 citations into it; #931 of 9,886 by trust here, #487 by citations
• Hardware and Architecture — 28 citations into it; #70 of 1,551 by trust here, #102 by citations
• Numerical Methods & Scientific Computing — 13 citations into it; #139 of 266 by trust here, #76 by citations
• Computational Theory and Mathematics — 12 citations into it; #6,269 of 12,182 by trust here, #1,463 by citations
• Information Systems — 11 citations into it; #2,503 of 8,771 by trust here, #2,539 by citations
• ML Systems & Hardware — 6 citations into it
• Natural Language Processing — 5 citations into it

Whom Jack J. Dongarra trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. George Karypis
2. Matteo Frigo
3. Rakesh Agrawal
4. Beresford N. Parlett
5. Lawrence R. Rabiner
6. Ilya M. Sobol
7. Padhraic Smyth
8. C. Paige
9. Jean-Pierre Bérenger
10. Russel E. Caflisch

Who trusts Jack J. Dongarra overall

1. Timothy A. Davis
2. Lloyd N. Trefethen
3. Iain Murray
4. J. Demmel
5. R. Clint Whaley
6. Daniel Terpstra
7. Piotr Luszczek
8. Cheol-Ho Hong
9. Corneliu Popeea
10. Jens Harald Krüger

Papers from Jack J. Dongarra's perspective

Ordered by how strongly the researchers Jack J. Dongarra trusts endorse each paper. Same corpus, a different order for every researcher.

1. Γ and B
2. LAPACK Users' Guide
3. The algebraic eigenvalue problem
4. A Fast and High Quality Multilevel Scheme for Partitioning Irregular Graphs
5. The Symmetric Eigenvalue Problem
6. A Class of Parallel Tiled Linear Algebra Algorithms for Multicore Architectures (Parallel Computing)
7. Automated empirical optimizations of software and the ATLAS project (Parallel Computing)
8. Cramming More Components Onto Integrated Circuits
9. Fast Algorithms for Mining Association Rules
10. Towards dense linear algebra for hybrid GPU accelerated manycore systems (Parallel Computing)

Their papers

• Scaling up matrix computations on shared-memory manycore systems with 1000 CPU cores (2014) — 13 citations
• Templates for the Solution of Algebraic Eigenvalue Problems (2000) — 1,679 citations
• Numerical linear algebra on emerging architectures: The PLASMA and MAGMA projects (2009) — 486 citations
• Towards dense linear algebra for hybrid GPU accelerated manycore systems (2009) — 496 citations
• PLASMA (2019) — 1,558 citations
• Evolution of Numerical Software for Dense Linear Algebra (2018)
• Exascale computing and big data (2015) — 430 citations
• PaRSEC: Exploiting Heterogeneity to Enhance Scalability (2013) — 314 citations
• From CUDA to OpenCL: Towards a performance-portable solution for multi-platform GPU programming (2012) — 366 citations
• The International Exascale Software Project roadmap (2011) — 769 citations
• DAGuE: A Generic Distributed DAG Engine for High Performance Computing (2011) — 413 citations
• Collecting Performance Data with PAPI-C (2009) — 394 citations
• Netlib and NA-Net: Building a Scientific Computing Community (2008) — 38 citations
• Recent Advances in Parallel Virtual Machine and Message Passing Interface, 15th European PVM/MPI Users' Group Meeting, Dublin, Ireland, September 7-10, 2008. Proceedings (2008) — 337 citations
• A Class of Parallel Tiled Linear Algebra Algorithms for Multicore Architectures (2007) — 592 citations
• The HPC Challenge (HPCC) benchmark suite (2006) — 355 citations
• Special Issue on Program Generation, Optimization, and Platform Adaptation (2005) — 443 citations
• Performance analysis of MPI collective operations (2005) — 324 citations
• Introduction to the HPCChallenge Benchmark Suite (2004) — 297 citations
• New Grid Scheduling and Rescheduling Methods in the GrADS Project (2004) — 295 citations