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Daniel Goodman
Daniel Goodman
Oracle Labs
Verified email at djgoodman.co.uk - Homepage
Title
Cited by
Cited by
Year
TERAFLUX: Harnessing dataflow in next generation teradevices
R Giorgi, RM Badia, F Bodin, A Cohen, P Evripidou, P Faraboschi, ...
Microprocessors and Microsystems 38 (8), 976-990, 2014
912014
The TERAFLUX project: Exploiting the dataflow paradigm in next generation teradevices
M Solinas, RM Badia, F Bodin, A Cohen, P Evripidou, P Faraboschi, ...
2013 Euromicro Conference on Digital System Design, 272-279, 2013
482013
Lowering the barriers to cancer imaging
MS Avila-Garcia, AE Trefethen, M Brady, F Gleeson, D Goodman
2008 IEEE Fourth International Conference on eScience, 63-70, 2008
382008
Introduction and evaluation of martlet: A scientific workflow language for abstracted parallelisation
DJ Goodman
Proceedings of the 16th international conference on World Wide Web, 983-992, 2007
382007
Data access and analysis with distributed federated data servers in climateprediction. net
N Massey, T Aina, M Allen, C Christensen, D Frame, D Goodman, ...
Advances in Geosciences 8, 49-56, 2006
272006
Applying dataflow and transactions to Lee routing
C Seaton, D Goodman, M LujŠn, I Watson
Programmability Issues for Heterogeneous Multicores (MultiProg), 2012
192012
Dfscala: High level dataflow support for scala
D Goodman, S Khan, C Seaton, Y Guskov, B Khan, M LujŠn, I Watson
2012 Data-Flow Execution Models for Extreme Scale Computing, 18-26, 2012
182012
Software transactional memories for scala
D Goodman, B Khan, S Khan, M LujŠn, I Watson
Journal of Parallel and Distributed Computing 73 (2), 150-163, 2013
162013
Muts: Native scala constructs for software transactional memory
D Goodman, B Khan, S Khan, C Kirkham, M LujŠn, I Watson
Scala Days Workshop, Stanford, 2011
82011
Martlet: a scientific work-flow language for abstracted parallisation
D Goodman
Oxford University Computing Laboratory, 2006
82006
Architectural support for task scheduling: hardware scheduling for dataflow on NUMA systems
B Khan, D Goodman, S Khan, W Toms, P Faraboschi, M LujŠn, I Watson
The Journal of Supercomputing 71, 2309-2338, 2015
52015
On the usage of GPUs for efficient motion estimation in medical image sequences
J Thiyagalingam, D Goodman, JA Schnabel, A Trefethen, V Grau
International Journal of Biomedical Imaging 2011 (1), 137604, 2011
52011
Scientific Middleware for Abstracted Parallisation
D Goodman, AP Martin
Oxford University Computing Laboratory, 2005
52005
A case for Exiting a Transaction in the Context of Hardware Transactional Memory
I Herath, D Rosas-Ham, D Goodman, M LujŠn, I Watson
7th ACM SIGPLAN Ws on Transact. Computing, 2012
32012
Parallel Processing
DJ Goodman, RA Hauser
US Patent App. 12/390,167, 2009
32009
Improved dataflow executions with user assisted scheduling
D Goodman, B Khan, M LujŠn, I Watson
2013 Data-Flow Execution Models for Extreme Scale Computing, 14-21, 2013
12013
Provenance in dynamically adjusted and partitioned workflows
D Goodman
2008 IEEE Fourth International Conference on eScience, 39-46, 2008
12008
A service-oriented architecture and language for abstracted distributed algorithms
D Goodman
University of Oxford, 2007
12007
A Block-Lanczos Method for Computing the Leading Singular Values and Vectors of a Large Column-Distributed Matrix
R Hauser, D Goodman
Technical report, Oxford University Computing Laboratory, 2007
12007
Grid style web services for climateprediction. net
D Goodman, A Martin
GGF workshop on building Service-Based Grids, Global Grid Forum, 2004
12004
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