John M. Shalf
Hardware and Architecture · 2002–2020
A researcher in the Science corpus: 9 papers; trusts 7 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Hardware and Architecture — 29 citations into it; #1,450 of 1,551 by trust here, #708 by citations
- Computer Networks and Communications — 27 citations into it; #4,858 of 9,886 by trust here, #2,687 by citations
- Electrical and Electronic Engineering — 25 citations into it; #7,179 of 16,539 by trust here, #14,379 by citations
- Artificial Intelligence — 6 citations into it
Whom John M. Shalf trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David A. B. Miller
- Igor L. Markov
- R. Vuduc
- Dmitri E. Nikonov
- Eun-Jin Im
- Krste Asanovic
- K. Yelick
- J. Demmel
Who trusts John M. Shalf overall
Papers from John M. Shalf's perspective
Ordered by how strongly the researchers John M. Shalf trusts endorse each paper. Same corpus, a different order for every researcher.
- The design and implementation of a first-generation CELL processor (ISSCC. 2005 IEEE International Digest of Technical Papers. Solid-State Circuits Conference, 2005.)
- Transactional lock-free execution of lock-based programs (ASPLOS X)
- X10: an object-oriented approach to non-uniform cluster computing (Conference on Object-Oriented Programming Systems, Languages, and Applications)
- A stream compiler for communication-exposed architectures (ASPLOS X)
- Introduction to Support Vector Machines
- Automatic performance tuning of sparse matrix kernels
- Cramming More Components Onto Integrated Circuits
- OSKI: A library of automatically tuned sparse matrix kernels
- The potential of the cell processor for scientific computing
- In-datacenter performance analysis of a tensor processing unit
Their papers
- Memory Errors in Modern Systems: The Good, The Bad, and The Ugly (2015) — 326 citations
- The potential of the cell processor for scientific computing (2005) — 396 citations
- The future of computing beyond Moore’s Law (2020) — 493 citations
- The International Exascale Software Project roadmap (2011) — 769 citations
- Performance Analysis of High Performance Computing Applications on the Amazon Web Services Cloud (2010) — 643 citations
- Exascale Computing Technology Challenges (2010) — 443 citations
- Optimization of sparse matrix-vector multiplication on emerging multicore platforms (2007) — 866 citations
- The Landscape of Parallel Computing Research: A View from Berkeley (2006) — 2,459 citations
- The Cactus Framework and Toolkit: Design and Applications (2002) — 394 citations