%0 Report %D 2022 %T Reinventing High Performance Computing: Challenges and Opportunities %A Daniel Reed %A Dennis Gannon %A Jack Dongarra %X The world of computing is in rapid transition, now dominated by a world of smartphones and cloud services, with profound implications for the future of advanced scientific computing. Simply put, high-performance computing (HPC) is at an important inflection point. For the last 60 years, the world's fastest supercomputers were almost exclusively produced in the United States on behalf of scientific research in the national laboratories. Change is now in the wind. While costs now stretch the limits of U.S. government funding for advanced computing, Japan and China are now leaders in the bespoke HPC systems funded by government mandates. Meanwhile, the global semiconductor shortage and political battles surrounding fabrication facilities affect everyone. However, another, perhaps even deeper, fundamental change has occurred. The major cloud vendors have invested in global networks of massive scale systems that dwarf today's HPC systems. Driven by the computing demands of AI, these cloud systems are increasingly built using custom semiconductors, reducing the financial leverage of traditional computing vendors. These cloud systems are now breaking barriers in game playing and computer vision, reshaping how we think about the nature of scientific computation. Building the next generation of leading edge HPC systems will require rethinking many fundamentals and historical approaches by embracing end-to-end co-design; custom hardware configurations and packaging; large-scale prototyping, as was common thirty years ago; and collaborative partnerships with the dominant computing ecosystem companies, smartphone and cloud computing vendors. %B ICL Technical Report %8 2022-03 %G eng %0 Generic %D 2018 %T A Collection of White Papers from the BDEC2 Workshop in Bloomington, IN %A James Ahrens %A Christopher M. Biwer %A Alexandru Costan %A Gabriel Antoniu %A Maria S. Pérez %A Nenad Stojanovic %A Rosa Badia %A Oliver Beckstein %A Geoffrey Fox %A Shantenu Jha %A Micah Beck %A Terry Moore %A Sunita Chandrasekaran %A Carlos Costa %A Thierry Deutsch %A Luigi Genovese %A Tarek El-Ghazawi %A Ian Foster %A Dennis Gannon %A Toshihiro Hanawa %A Tevfik Kosar %A William Kramer %A Madhav V. Marathe %A Christopher L. Barrett %A Takemasa Miyoshi %A Alex Pothen %A Ariful Azad %A Judy Qiu %A Bo Peng %A Ravi Teja %A Sahil Tyagi %A Chathura Widanage %A Jon Koskey %A Maryam Rahnemoonfar %A Umakishore Ramachandran %A Miles Deegan %A William Tang %A Osamu Tatebe %A Michela Taufer %A Michel Cuende %A Ewa Deelman %A Trilce Estrada %A Rafael Ferreira Da Silva %A Harrel Weinstein %A Rodrigo Vargas %A Miwako Tsuji %A Kevin G. Yager %A Wanling Gao %A Jianfeng Zhan %A Lei Wang %A Chunjie Luo %A Daoyi Zheng %A Xu Wen %A Rui Ren %A Chen Zheng %A Xiwen He %A Hainan Ye %A Haoning Tang %A Zheng Cao %A Shujie Zhang %A Jiahui Dai %B Innovative Computing Laboratory Technical Report %I University of Tennessee, Knoxville %8 2018-11 %G eng %0 Conference Proceedings %B SC’09 The International Conference for High Performance Computing, Networking, Storage and Analysis (to appear) %D 2009 %T VGrADS: Enabling e-Science Workflows on Grids and Clouds with Fault Tolerance %A Lavanya Ramakrishan %A Daniel Nurmi %A Anirban Mandal %A Charles Koelbel %A Dennis Gannon %A Mark Huang %A Yang-Suk Kee %A Graziano Obertelli %A Kiran Thyagaraja %A Rich Wolski %A Asim YarKhan %A Dmitrii Zagorodnov %K grads %B SC’09 The International Conference for High Performance Computing, Networking, Storage and Analysis (to appear) %C Portland, OR %8 2009-00 %G eng %0 Journal Article %J CTWatch Quarterly %D 2007 %T The Impact of Multicore on Computational Science Software %A Jack Dongarra %A Dennis Gannon %A Geoffrey Fox %A Ken Kennedy %B CTWatch Quarterly %V 3 %8 2007-02 %G eng %N 1 %0 Conference Proceedings %B International Parallel and Distributed Processing Symposium: IPDPS 2002 Workshops %D 2002 %T Toward a Framework for Preparing and Executing Adaptive Grid Programs %A Ken Kennedy %A John Mellor-Crummey %A Keith Cooper %A Linda Torczon %A Francine Berman %A Andrew Chien %A Dave Angulo %A Ian Foster %A Dennis Gannon %A Lennart Johnsson %A Carl Kesselman %A Jack Dongarra %A Sathish Vadhiyar %K grads %B International Parallel and Distributed Processing Symposium: IPDPS 2002 Workshops %C Fort Lauderdale, FL %P 0171 %8 2002-04 %G eng %0 Journal Article %J International Journal of High Performance Applications and Supercomputing %D 2001 %T The GrADS Project: Software Support for High-Level Grid Application Development %A Francine Berman %A Andrew Chien %A Keith Cooper %A Jack Dongarra %A Ian Foster %A Dennis Gannon %A Lennart Johnsson %A Ken Kennedy %A Carl Kesselman %A John Mellor-Crummey %A Dan Reed %A Linda Torczon %A Rich Wolski %K grads %B International Journal of High Performance Applications and Supercomputing %V 15 %P 327-344 %8 2001-01 %G eng %0 Journal Article %J Journal of Parallel and Distributed Computing %D 2001 %T Telescoping Languages: A Strategy for Automatic Generation of Scientific Problem-Solving Systems from Annotated Libraries %A Ken Kennedy %A Bradley Broom %A Keith Cooper %A Jack Dongarra %A Rob Fowler %A Dennis Gannon %A Lennart Johnsson %A John Mellor-Crummey %A Linda Torczon %B Journal of Parallel and Distributed Computing %V 61 %P 1803-1826 %8 2001-12 %G eng %0 Generic %D 2000 %T The GrADS Project: Software Support for High-Level Grid Application Development %A Francine Berman %A Andrew Chien %A Keith Cooper %A Jack Dongarra %A Ian Foster %A Dennis Gannon %A Lennart Johnsson %A Ken Kennedy %A Carl Kesselman %A Dan Reed %A Linda Torczon %A Rich Wolski %K grads %B Technical Report %8 2000-02 %G eng