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Autor:
Oliver T; DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA. toliver4@spelman.edu.; Department of Biology, Spelman College, Atlanta, GA, 30314, USA. toliver4@spelman.edu., Varghese N; DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA., Roux S; DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA., Schulz F; DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA., Huntemann M; DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA., Clum A; Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA., Foster B; DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA., Foster B; DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA., Riley R; DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA., LaButti K; DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA., Egan R; DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA., Hajek P; DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA., Mukherjee S; DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA., Ovchinnikova G; DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA., Reddy TBK; DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA., Calhoun S; DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA., Hayes RD; DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA., Rohwer RR; DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.; Department of Integrative Biology, The University of Texas at Austin, Austin, TX, 78712, USA., Zhou Z; Department of Bacteriology, University of Wisconsin-Madison, Madison, WI, 53706, USA., Daum C; DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA., Copeland A; DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA., Chen IA; DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA., Ivanova NN; DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA., Kyrpides NC; DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA., Mouncey NJ; DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA., Del Rio TG; DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA., Grigoriev IV; DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.; Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.; Department of Plant and Microbial Biology, University of California Berkeley, Berkeley, CA, 94720, USA., Hofmeyr S; Applied Math and Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA., Oliker L; Applied Math and Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA., Yelick K; Applied Math and Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.; Electrical Engineering and Computer Sciences Department, University of California Berkeley, Berkeley, CA, 94720, USA., Anantharaman K; Department of Bacteriology, University of Wisconsin-Madison, Madison, WI, 53706, USA., McMahon KD; Department of Bacteriology, University of Wisconsin-Madison, Madison, WI, 53706, USA.; Department of Civil and Environmental Engineering, University of Wisconsin-Madison, Madison, WI, 53706, USA., Woyke T; DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.; Life and Environmental Sciences, University of California Merced, Merced, CA, 95343, USA., Eloe-Fadrosh EA; DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA. eaeloefadrosh@lbl.gov.; Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA. eaeloefadrosh@lbl.gov.
Publikováno v:
Scientific data [Sci Data] 2024 Sep 04; Vol. 11 (1), pp. 966. Date of Electronic Publication: 2024 Sep 04.
Akademický článek
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Autor:
Riley R; Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley California, USA., Bowers RM; Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley California, USA., Camargo AP; Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley California, USA., Campbell A; Physical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, California, USA., Egan R; Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley California, USA., Eloe-Fadrosh EA; Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley California, USA., Foster B; Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley California, USA., Hofmeyr S; Applied Math and Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA., Huntemann M; Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley California, USA., Kellom M; Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley California, USA., Kimbrel JA; Physical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, California, USA., Oliker L; Applied Math and Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA., Yelick K; Applied Math and Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA.; Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, California, USA., Pett-Ridge J; Physical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, California, USA.; Life & Environmental Sciences Department, University of California Merced, Merced, California, USA., Salamov A; Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley California, USA., Varghese NJ; Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley California, USA., Clum A; Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley California, USA.
Publikováno v:
Microbiology spectrum [Microbiol Spectr] 2023 Aug 17; Vol. 11 (4), pp. e0020023. Date of Electronic Publication: 2023 Jun 13.
Publikováno v:
Koanantakool, P; Ali, A; Azad, A; Buluç, A; Morozov, D; Oliker, L; et al.Storkey, AJ; & Pérez-Cruz, F eds. (2018). Communication-Avoiding Optimization Methods for Distributed Massive-Scale Sparse Inverse Covariance Estimation.. AISTATS, 84, 1376-1386. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/9w968384
Koanantakool, P; Ali, A; Azad, A; Buluc, A; Morozov, D; Oliker, L; et al.(2018). Communication-Avoiding Optimization Methods for Distributed Massive-Scale Sparse Inverse Covariance Estimation. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/7tz0395m
AISTATS, vol 84
Koanantakool, P; Ali, A; Azad, A; Buluc, A; Morozov, D; Oliker, L; et al.(2018). Communication-Avoiding Optimization Methods for Distributed Massive-Scale Sparse Inverse Covariance Estimation. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/7tz0395m
AISTATS, vol 84
Across a variety of scientific disciplines, sparse inverse covariance estimation is a popular tool for capturing the underlying dependency relationships in multivariate data. Unfortunately, most estimators are not scalable enough to handle the sizes
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http://www.escholarship.org/uc/item/9w968384
Performance analysis is a daunting job, especially for the rapid-evolving accelerator technologies. The Roofline Scaling Trajectories technique aims at diagnosing various performance bottlenecks for GPU programming models through the visually intuiti
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https://escholarship.org/uc/item/5nv5d9b2
Akademický článek
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Autor:
Meyer F; Computational Biology of Infection Research, Helmholtz Centre for Infection Research, Braunschweig, Germany.; Braunschweig Integrated Centre of Systems Biology (BRICS), Technische Universität Braunschweig, Braunschweig, Germany., Fritz A; Computational Biology of Infection Research, Helmholtz Centre for Infection Research, Braunschweig, Germany.; Braunschweig Integrated Centre of Systems Biology (BRICS), Technische Universität Braunschweig, Braunschweig, Germany.; German Center for Infection Research (DZIF), Hannover-Braunschweig Site, Braunschweig, Germany., Deng ZL; Computational Biology of Infection Research, Helmholtz Centre for Infection Research, Braunschweig, Germany.; Braunschweig Integrated Centre of Systems Biology (BRICS), Technische Universität Braunschweig, Braunschweig, Germany.; Cluster of Excellence RESIST (EXC 2155), Hannover Medical School, Hannover, Germany., Koslicki D; Pennsylvania State University, State College, PA, USA., Lesker TR; German Center for Infection Research (DZIF), Hannover-Braunschweig Site, Braunschweig, Germany.; Helmholtz Centre for Infection Research, Braunschweig, Germany., Gurevich A; Saint Petersburg State University, Saint Petersburg, Russia., Robertson G; Computational Biology of Infection Research, Helmholtz Centre for Infection Research, Braunschweig, Germany.; Braunschweig Integrated Centre of Systems Biology (BRICS), Technische Universität Braunschweig, Braunschweig, Germany., Alser M; Department of Information Technology and Electrical Engineering, ETH Zürich, Zurich, Switzerland., Antipov D; Center for Algorithmic Biotechnology, Saint Petersburg State University, Saint Petersburg, Russia., Beghini F; Department CIBIO, University of Trento, Trento, Italy., Bertrand D; Genome Institute of Singapore, Singapore, Singapore., Brito JJ; University of Southern California, Los Angeles, CA, USA., Brown CT; University of California, Davis, Davis, CA, USA., Buchmann J; Institute for Biological Data Science, Heinrich-Heine-University, Düsseldorf, Germany., Buluç A; Lawrence Berkeley National Laboratory, Berkeley, CA, USA.; University of California, Berkeley, Berkeley, CA, USA., Chen B; Lawrence Berkeley National Laboratory, Berkeley, CA, USA.; University of California, Berkeley, Berkeley, CA, USA., Chikhi R; Institut Pasteur, Paris, France., Clausen PTLC; National Food Institute, Division of Global Surveillance, Technical University of Denmark, Lyngby, Denmark., Cristian A; Drexel University, Philadelphia, PA, USA.; Google Inc., Philadelphia, PA, USA., Dabrowski PW; Robert Koch-Institut, Berlin, Germany.; Hochschule für Technik und Wirtschaft Berlin, Berlin, Germany., Darling AE; University of Technology Sydney, Sydney, Australia., Egan R; DOE Joint Genome Institute, Berkeley, CA, USA.; Lawrence Berkeley National Laboratories, Berkeley, CA, USA., Eskin E; University of California, Los Angeles, Los Angeles, CA, USA., Georganas E; Intel Corporation, Santa Clara, CA, USA., Goltsman E; DOE Joint Genome Institute, Berkeley, CA, USA.; Lawrence Berkeley National Laboratories, Berkeley, CA, USA., Gray MA; Drexel University, Philadelphia, PA, USA.; Ecological and Evolutionary Signal-Processing and Informatics Laboratory, Philadelphia, PA, USA., Hansen LH; University of Copenhagen, Department of Plant and Environmental Science, Frederiksberg, Denmark., Hofmeyr S; Lawrence Berkeley National Laboratory, Berkeley, CA, USA.; University of California, Berkeley, Berkeley, CA, USA., Huang P; School of Computer Science, Fudan University, Shanghai, China., Irber L; University of California, Davis, Davis, CA, USA., Jia H; BGI-Shenzhen, Shenzhen, China.; Shenzhen Key Laboratory of Human Commensal Microorganisms and Health Research, BGI-Shenzhen, Shenzhen, China., Jørgensen TS; Technical University of Denmark, Novo Nordisk Foundation Center for Biosustainability, Lyngby, Denmark.; Aarhus University, Department of Environmental Science, Roskilde, Denmark., Kieser SD; Department of Cell Physiology and Metabolism, Faculty of Medicine, University of Geneva, Geneva, Switzerland.; Swiss Institute of Bioinformatics, Geneva, Switzerland., Klemetsen T; The Arctic University of Norway, Tromsø, Norway., Kola A; Charité-Universitätsmedizin Berlin, Berlin, Germany., Kolmogorov M; Department of Computer Science and Engineering, University of California San Diego, San Diego, CA, USA., Korobeynikov A; Center for Algorithmic Biotechnology, Saint Petersburg State University, Saint Petersburg, Russia.; Department of Statistical Modelling, Saint Petersburg State University, Saint Petersburg, Russia., Kwan J; University of Wisconsin-Madison, Madison, WI, USA., LaPierre N; University of California, Los Angeles, Los Angeles, CA, USA., Lemaitre C; Univ. Rennes, Inria, CNRS, IRISA, Rennes, France., Li C; Genome Institute of Singapore, Singapore, Singapore., Limasset A; Université Lille, CNRS, CRIStAL, Lille, France., Malcher-Miranda F; Hasso Plattner Institute, Digital Engineering Faculty, University of Potsdam, Potsdam, Germany., Mangul S; University of Southern California, Los Angeles, CA, USA., Marcelino VR; Sydney Medical School, The University of Sydney, Sydney, Australia.; Centre for Innate Immunity and Infectious Diseases, Hudson Institute of Medical Research, Clayton, Australia., Marchet C; Université Lille, CNRS, CRIStAL, Lille, France., Marijon P; Department of Computer Science, Inria, University of Lille, CNRS, Lille, France., Meleshko D; Center for Algorithmic Biotechnology, Saint Petersburg State University, Saint Petersburg, Russia., Mende DR; Amsterdam University Medical Center, Amsterdam, the Netherlands., Milanese A; Department of Biology, Institute of Microbiology and Swiss Institute of Bioinformatics, ETH Zürich, Zürich, Switzerland.; Structural and Computational Biology Unit, EMBL, Heidelberg, Germany., Nagarajan N; Genome Institute of Singapore, A*STAR, Singapore, Singapore.; National University of Singapore, Singapore, Singapore., Nissen J; DTU Health Tech, Kongens, Lyngby, Denmark., Nurk S; Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA., Oliker L; Lawrence Berkeley National Laboratory, Berkeley, CA, USA.; University of California, Berkeley, Berkeley, CA, USA., Paoli L; Department of Biology, Institute of Microbiology and Swiss Institute of Bioinformatics, ETH Zürich, Zürich, Switzerland., Peterlongo P; Univ. Rennes, Inria, CNRS, IRISA, Rennes, France., Piro VC; Hasso Plattner Institute, Digital Engineering Faculty, University of Potsdam, Potsdam, Germany., Porter JS; University of Virginia, Charlottesville, VA, USA., Rasmussen S; Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark., Rees ER; University of Wisconsin-Madison, Madison, WI, USA., Reinert K; Institute for Bioinformatics, FU Berlin, Berlin, Germany., Renard B; Hasso Plattner Institute, Digital Engineering Faculty, University of Potsdam, Potsdam, Germany.; Bioinformatics Unit (MF1), Robert Koch Institute, Berlin, Germany., Robertsen EM; The Arctic University of Norway, Tromsø, Norway., Rosen GL; Drexel University, Philadelphia, PA, USA.; Ecological and Evolutionary Signal-Processing and Informatics Laboratory, Philadelphia, PA, USA.; Center for Biological Discovery from Big Data, Philadelphia, PA, USA., Ruscheweyh HJ; Department of Biology, Institute of Microbiology and Swiss Institute of Bioinformatics, ETH Zürich, Zürich, Switzerland., Sarwal V; University of California, Los Angeles, Los Angeles, CA, USA., Segata N; Department CIBIO, University of Trento, Trento, Italy., Seiler E; Institute for Bioinformatics, FU Berlin, Berlin, Germany., Shi L; Florida Polytechnic University, Lakeland, FL, USA., Sun F; Quantitative and Computational Biology Department, University of Southern California, Los Angeles, CA, USA., Sunagawa S; Department of Biology, Institute of Microbiology and Swiss Institute of Bioinformatics, ETH Zürich, Zürich, Switzerland., Sørensen SJ; University of Copenhagen, Copenhagen, Denmark., Thomas A; DOE Joint Genome Institute, Berkeley, CA, USA.; University of British Columbia, Vancouver, British Columbia, Canada., Tong C; Genome Institute of Singapore, Singapore, Singapore., Trajkovski M; Department of Cell Physiology and Metabolism, Faculty of Medicine, University of Geneva, Geneva, Switzerland.; Diabetes Center, Faculty of Medicine, University of Geneva, Geneva, Switzerland., Tremblay J; Energy, Mining and Environment, National Research Council Canada, Montreal, Quebec, Canada., Uritskiy G; Phase Genomics, Seattle, WA, USA., Vicedomini R; Institut Pasteur, Paris, France., Wang Z; School of Computer Science, Fudan University, Shanghai, China., Wang Z; School of Mathematical Sciences, Fudan University, Shanghai, China., Wang Z; Department of Energy Joint Genome Institute, Berkeley, CA, USA.; Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.; School of Natural Sciences, University of California at Merced, Merced, CA, USA., Warren A; University of Virginia, Charlottesville, VA, USA., Willassen NP; The Arctic University of Norway, Tromsø, Norway., Yelick K; Lawrence Berkeley National Laboratory, Berkeley, CA, USA.; University of California, Berkeley, Berkeley, CA, USA., You R; School of Computer Science, Fudan University, Shanghai, China., Zeller G; Structural and Computational Biology Unit, EMBL, Heidelberg, Germany., Zhao Z; Drexel University, Philadelphia, PA, USA., Zhu S; Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.; Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China., Zhu J; BGI-Shenzhen, Shenzhen, China.; Shenzhen Key Laboratory of Human Commensal Microorganisms and Health Research, BGI-Shenzhen, Shenzhen, China., Garrido-Oter R; Max Planck Institute for Plant Breeding Research, Köln, Germany., Gastmeier P; Charité-Universitätsmedizin Berlin, Berlin, Germany., Hacquard S; Max Planck Institute for Plant Breeding Research, Köln, Germany., Häußler S; Helmholtz Centre for Infection Research, Braunschweig, Germany., Khaledi A; Helmholtz Centre for Infection Research, Braunschweig, Germany., Maechler F; Charité-Universitätsmedizin Berlin, Berlin, Germany., Mesny F; Max Planck Institute for Plant Breeding Research, Köln, Germany., Radutoiu S; Aarhus University, Aarhus, Denmark., Schulze-Lefert P; Max Planck Institute for Plant Breeding Research, Köln, Germany., Smit N; Helmholtz Centre for Infection Research, Braunschweig, Germany., Strowig T; Helmholtz Centre for Infection Research, Braunschweig, Germany., Bremges A; Computational Biology of Infection Research, Helmholtz Centre for Infection Research, Braunschweig, Germany.; German Center for Infection Research (DZIF), Hannover-Braunschweig Site, Braunschweig, Germany., Sczyrba A; Center for Biotechnology (CeBiTec), Bielefeld University, Bielefeld, Germany., McHardy AC; Computational Biology of Infection Research, Helmholtz Centre for Infection Research, Braunschweig, Germany. amc14@helmholtz-hzi.de.; Braunschweig Integrated Centre of Systems Biology (BRICS), Technische Universität Braunschweig, Braunschweig, Germany. amc14@helmholtz-hzi.de.; German Center for Infection Research (DZIF), Hannover-Braunschweig Site, Braunschweig, Germany. amc14@helmholtz-hzi.de.; Cluster of Excellence RESIST (EXC 2155), Hannover Medical School, Hannover, Germany. amc14@helmholtz-hzi.de.
Publikováno v:
Nature methods [Nat Methods] 2022 Apr; Vol. 19 (4), pp. 429-440. Date of Electronic Publication: 2022 Apr 08.
Publikováno v:
Strnadova-Neeley, V; Buluc, A; Gilbert, JR; Oliker, L; & Ouyang, W. (2018). LiRa: A New Likelihood-Based Similarity Score for Collaborative Filtering. UC Santa Barbara: Retrieved from: http://www.escholarship.org/uc/item/3px6g8zk
Recommender system data presents unique challenges to the data mining, machine learning, and algorithms communities. The high missing data rate, in combination with the large scale and high dimensionality that is typical of recommender systems data,
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https://escholarship.org/uc/item/3px6g8zk
Publikováno v:
Sarje, A; Jacobsen, D; Williams, S; Ringler, T; & Oliker, L. (2016). Exploiting Thread Parallelism for Ocean Modeling on Cray XC Supercomputers. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/1kd706h2
The incorporation of increasing core counts in modern processors used to build state-of-the-art supercomputers is driving application development towards exploitation of thread parallelism, in addition to distributed memory parallelism, with the goal
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https://escholarship.org/uc/item/1kd706h2
Publikováno v:
Datta, K; Williams, SW; Volkov, V; Carter, J; Oliker, L; Shalf, J; et al.Kurzak, J; Bader, D; & Dongarra, J eds. (2010). Auto-tuning Stencil Computations on Multicore and Accelerators. In Scientific Computing with Multicore and Accelerators. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/7d57h6ps
Datta, K; Williams, S; Volkov, V; Carter, J; Oliker, L; Shalf, J; et al.Kurzak, J; Bader, D; & Dongarra, J eds. (2010). Auto-tuning stencil computations on multicore and accelerators. In Scientific Computing with Multicore and Accelerators. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/65n6t7d9
Datta, K; Williams, S; Volkov, V; Carter, J; Oliker, L; Shalf, J; et al.Kurzak, J; Bader, D; & Dongarra, J eds. (2010). Auto-tuning stencil computations on multicore and accelerators. In Scientific Computing with Multicore and Accelerators. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/65n6t7d9
© 2011 by Taylor and Francis Group, LLC. The recent transformation from an environment where gains in computational performance came from increasing clock frequency and other hardware engineering innovations, to an environment where gains are realiz
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http://www.escholarship.org/uc/item/7d57h6ps