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Rethinking large-scale Economic Modeling for Efficiency: Optimizations for GPU and Xeon Phi Clusters

Simon Scheidegger, Dmitry Mikushin, Felix Kubler, Olaf Schenk
2018 2018 IEEE International Parallel and Distributed Processing Symposium (IPDPS)  
We propose a massively parallelized and optimized framework to solve high-dimensional dynamic stochastic economic models on modern GPU-and MIC-based clusters.  ...  Abstract-We propose a massively parallelized and optimized framework to solve high-dimensional dynamic stochastic economic models on modern GPU-and MIC-based clusters.  ...  This work was supported by a grant from the Swiss National Supercomputing Centre under project IDs s555 and s790.  ... 
doi:10.1109/ipdps.2018.00070 dblp:conf/ipps/ScheideggerMKS18 fatcat:rmjwvcoojra63g5xxkriiwoth4

Hardware Developments I - A Survey Of State-Of-The-Art Hardware And Software

Daniel Borgis, Liang Liang, Leon Petit, Michael Lysaght, Alan O'Cais
2016 Zenodo  
Review of actual hardware and software solutions and recommendations to software vendors  ...  These innovations include custom systems for large or warehouse scale data centres, workload acceleration through GPU, FPGA or advanced I/O, platform optimization for SW appliances, or advanced hardware  ...  based on the Intel Xeon processors and co-processors such as Xeon Phi or NVIDIA GPU.  ... 
doi:10.5281/zenodo.929532 fatcat:cpuc7mplurcqtkunarlbitvdqu

Improving main memory hash joins on Intel Xeon Phi processors

Saurabh Jha, Bingsheng He, Mian Lu, Xuntao Cheng, Huynh Phung Huynh
2015 Proceedings of the VLDB Endowment  
First, the impact of architectural features and software optimizations has quite different behavior on Xeon Phi in comparison with those on the CPU, which calls for new optimization and tuning on Xeon  ...  For each camp, we study the impact of architectural features and software optimizations on Xeon Phi in comparison with results on multi-core CPUs.  ...  Acknowledgment We would like to thank the authors of [7] and [8] for providing the source code. This work is supported by a MoE AcRF Tier 2 grant (MOE2012-T2-2-067) in Singapore.  ... 
doi:10.14778/2735703.2735704 fatcat:ion4mquxq5difphvo3fe6pqfma

Hardware Developments Iii

Alan Ó Cais, Liang Liang, Jony Castagna
2018 Zenodo  
detailed feedback to the project software developers; - discussion of project software needs with hardware and software vendors, completion of survey of what is already available for particular hardware  ...  platforms; and, - detailed output from direct face-to-face session between the project endusers, developers and hardware vendors.  ...  Apart from cluster and booster (Intel Xeon Phi) components, additional components will be developed with architectures adapted for data-intensive and data analysis applications.  ... 
doi:10.5281/zenodo.1304087 fatcat:itkihkoikvas5ajgxzqyswsez4

EXA2PRO programming environment

Dimitrios Soudris, Raymond Namyst, Dirk Pleiter, Georgi Gaydadjiev, Tobias Becker, Matthieu Haefele, Lazaros Papadopoulos, Christoph W. Kessler, Dionysios D. Kehagias, Athanasios Papadopoulos, Panos Seferlis, Alexander Chatzigeorgiou (+2 others)
2018 Proceedings of the 18th International Conference on Embedded Computer Systems Architectures, Modeling, and Simulation - SAMOS '18  
HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not.  ...  The documents may come from teaching and research institutions in France or abroad, or from public or private research centers.  ...  ACKNOWLEDGEMENT This work has received funding from the European Union's Horizon 2020 research and innovation programme EXA2PRO under grant agreement No 801015 (www.exa2pro.eu).  ... 
doi:10.1145/3229631.3239369 dblp:conf/samos/SoudrisPKKPSCAT18 fatcat:sbqs5qyhgvgtdghb5sf2no6y3q

Exascale computing and big data

Daniel A. Reed, Jack Dongarra
2015 Communications of the ACM  
Acknowledgments We are grateful for insights and perspectives we received from the DARPA and DOE exascale hardware, software, and application study groups.  ...  We also acknowledge the insightful comments and suggestions from the reviewers of earlier drafts of this article. Daniel A.  ...  It contains 16,000 nodes, each with two Intel Xeon processors and three Intel Xeon Phi coprocessors.  ... 
doi:10.1145/2699414 fatcat:d3lyhp4hyveefoq4y3ganonqiu

D7.7: Hardware developments IV

Alan Ó Cais, Jony Castagna, Godehard Sutmann
2019 Zenodo  
detailed feedback to the project software developers; - discussion of project software needs with hardware and software vendors, completion of survey of what is already available for particular hardware  ...  platforms; and, - detailed output from direct face-to-face session between the project endusers, developers and hardware vendors.  ...  Apart from cluster and booster (Intel Xeon Phi) components, additional components will be developed with architectures adapted for data-intensive and data analysis applications.  ... 
doi:10.5281/zenodo.3256136 fatcat:hfpwvelb3zdxlk6fmkgddqgqoq

Planning the Future of U.S. Particle Physics (Snowmass 2013): Chapter 9: Computing [article]

L. A. T. Bauerdick, S. Gottlieb, G. Bell, K. Bloom, T. Blum, D. Brown, M. Butler, A. Connolly, E. Cormier, P. Elmer, M. Ernst, I. Fisk, G. Fuller, R. Gerber (+16 others)
2014 arXiv   pre-print
Chapter 9, on Computing, discusses the computing challenges for future experiments in the Energy, Intensity, and Cosmic Frontiers, for accelerator science, and for particle theory, as well as structural  ...  These reports present the results of the 2013 Community Summer Study of the APS Division of Particles and Fields ("Snowmass 2013") on the future program of particle physics in the U.S.  ...  Efforts have begun to increase code efficiency and parallelism in reconstruction software and to explore the potential of computational accelerators such as GPUs and Xeon Phi.  ... 
arXiv:1401.6117v1 fatcat:czmytmguqvcnrdm4q2ycjco4zm

Future Computer Systems and Networking Research in the Netherlands: A Manifesto [article]

Alexandru Iosup
2022 arXiv   pre-print
Computational sciences such as bioinformatics, and "Humanities for all" and "citizen data science", cannot become affordable and efficient until computer systems take a generational leap.  ...  Large commercial sectors, including finance and manufacturing, require specialized computing and networking or risk becoming uncompetitive.  ...  multi-core processors (like Intel's Xeon, AMD's Opteron, or IBM PowerPC families) to heterogeneous, hierarchical core organizations (like Cell B.E., Intel's Xeon Phi.  ... 
arXiv:2206.03259v1 fatcat:yz5xxpfeqbfbxp63i2naom3oy4

Toxicity Analysis and Cry Gene Profiling of Bacillus Thuringiensis Isolated from Western Ghats of Tamil Nadu State, India

A. Ramalakshmi, P. Annakodi, V. Udayasurian, V. Balasubramani
2018 Proceedings of the Indian National Science Academy  
In fact, there were methods of storing like Quipu of Incas and tools for calculating like Chinese counting rods.  ...  There are various evidences of calculation as an ancient activity [Tedre, 2014] that dates back to Babylonian days used for varieties of navigational, astronomical and other day-to-day needs.  ...  Hierarchical optimization is useful for handling large-scale systems that exhibit scale or organizational properties that can be modeled using a hierarchical arrangement.  ... 
doi:10.16943/ptinsa/2018/49413 fatcat:2w6rohpbava5zh6m26tsiz7qky

Eurolab-4-HPC Long-Term Vision on High-Performance Computing [article]

Theo Ungerer, Paul Carpenter
2018 arXiv   pre-print
Radical changes in computing are foreseen for the next decade.  ...  The objective of the Eurolab-4-HPC vision is to provide a long-term roadmap from 2023 to 2030 for High-Performance Computing (HPC).  ...  the Xeon Phi.  ... 
arXiv:1807.04521v1 fatcat:5neetrgubjhnvcajcktpkohrzq

Big data and extreme-scale computing

M Asch, T Moore, R Badia, M Beck, P Beckman, T Bidot, F Bodin, F Cappello, A Choudhary, B de Supinski, E Deelman, J Dongarra (+27 others)
2018 The international journal of high performance computing applications  
Third, we focus on some opportunities for software ecosystem convergence in big, logically centralized facilities that execute large-scale simulations and models and/or perform large-scale data analytics  ...  We close by offering some conclusions and recommendations for future investment and policy review.  ...  Acknowledgments The authors would like to acknowledge David Rogers for his work on the illustrations, Sam Crawford for editing support and the creation of the Appendix, and Piotr Luszczek for technical  ... 
doi:10.1177/1094342018778123 fatcat:vwrrxmad4rhtppq6ioaz4h5q7a

Concurrent Computing in the Many-core Era (Dagstuhl Seminar 15021)

Michael Philippsen, Pascal Felber, Michael L. Scott, J. Eliot B. Moss, Marc Herbstritt
2015 Dagstuhl Reports  
and potential uses of emerging hardware support for synchronization extensions, and (3) considering the increasing complexity resulting from the explosion in heterogeneity.  ...  This seminar is a successor to Dagstuhl Seminars 08241 "Transactional memory: From implementation to application" and 12161 "Abstractions for scalable multicore computing", respectively held in June 2008  ...  Large scale sharing involves data replication which is easy for immutable data but hard for mutable data.  ... 
doi:10.4230/dagrep.5.1.1 dblp:journals/dagstuhl-reports/PhilippsenFSM15 fatcat:owcmta65hzb5vmglwq3dwzbehy

Data processing on heterogeneous hardware [article]

Max Heimel, Technische Universität Berlin, Technische Universität Berlin, Volker Markl
2018
Over the last decades, Software Engineers and Computer Scientists have made significant progress towards this goal, providing highly-tuned algorithms, systems & mechanisms for a wide variety of different  ...  The primary objective of data processing research on modern hardware is to understand how to utilize emerging technology to process data efficiently.  ...  , as well as on Intel's Xeon Phi accelerator card.  ... 
doi:10.14279/depositonce-7255 fatcat:ymjwoicorzaylpwzkjktvmhjge

Exploiting Data Sparsity In Covariance Matrix Computations on Heterogeneous Systems

Ali Charara
2018
For example, covari- ance matrices are employed in climate/weather modeling for the maximum likelihood estimation to improve prediction, as well as in computational ground-based astronomy to enhance the  ...  In fact, this thesis con- solidates the two trends of dense and data-sparse linear algebra for HPC.  ...  Xeon Phi Knights Landing (KNL) is the most recent and advanced Intel Xeon Phi accelerator chip and is available in three product forms: KNL Self-Boot, KNL Self-Boot with Fabric, and KNL accelerator card  ... 
doi:10.25781/kaust-5m8z4 fatcat:ldejra7mqzdvtfxzwjtnvgft6i
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