ISC Announces Jack Dongarra Early Career Award and Lecture Series
The ISC High Performance conference series organizers proudly announce the ISC Jack Dongarra Early Career Award and Lecture Series to commemorate Professor Jack Dongarra’s lifelong contributions to the field of high performance computing and to the community.
The award and lecture will be incorporated into the conference series starting in 2023. The annual ISC Jack Dongarra Early Career Award will go to an upcoming researcher who has been a catalyst for scientific progress through exceptional work in their field. In particular, outstanding individuals in high performance computing within areas such as numerical algorithms and software libraries, computational sciences, and mathematics, as well as machine learning, will be considered for this award. The recipient will be invited to deliver a lecture in front of the ISC audience. Prof. Dongarra himself will present the accolade to the recipient at ISC 2023. The award includes a cash prize and a certificate of recognition.
KAUST/ICL researchers nominated for the Gordon Bell Prize
A global weather prediction model built by KAUST and ICL researchers has been nominated for the ACM Gordon Bell Prize for outstanding achievements in high-performance computing. The team includes KAUST researchers and ICL alumni Rabab Alomairy and Hatem Ltaief, and ICL members Prof. George Bosilca, Qinglei Cao and Yu Pei.
The award honors innovative computing in science, engineering, and large-scale data analytics used in environmental modeling. The highly successful, multi-disciplinary, and multi-institution team led by KAUST Prof. David Keyes built ExaGeoStat, a global weather prediction model. Using ICL expertise on distributed computing and their dataflow programming model and runtime, the ExaGeoStat powered by the world’s second-fastest supercomputer, Fugaku, at RIKEN in Japan reached new heights on environmental modeling. The latest version of ExoGeoStat can process weather data from 10 million locations in 90 minutes, compared with 18 hours for previous models, and uses it to predict phenomena such as wind, temperature, and rainfall.
It is the first time in 35 years of the prize that a spatial statistics model has made it to the final six. The team is honored by the nomination, and they are thankful for the opportunity to have worked together in the development of a tool of global impact that can benefit society at such a scale. They expect that ExoGeoStat will be used to identify suitable sites for renewable energy and intelligent agriculture systems, such as wind farms, solar farms, and greenhouses, and therefore contribute to accelerating green energy alternatives.
Dongarra Speaks at the 16th Annual VPA Symposium at Vanderbilt
Jack Dongarra gave a keynote lecture at the 16th annual Vanderbilt Postdoctoral Association Symposium on Thursday, October 27, 2022.
The symposium is an interdisciplinary one-day conference that highlights postdoctoral research and provides a venue for networking and professional development. The event offers Vanderbilt postdocs the opportunity to present their research through a lightning talk (brief oral presentation) or a poster presentation.
Dongarra’s lecture addressed some of the changes in high performance computing and the impact on how our algorithms and software libraries are designed for our high-end computers. For nearly forty years, Moore’s Law produced exponential growth in hardware performance, and during that same time, most software failed to keep pace with these hardware advances. In his talk, Dongarra examined some algorithmic and software changes that have tried to keep up with the advances in the hardware.
Review of Jack’s talk at Heidelberg Forum
Spektrum.de Scilogs writer Katie Steckles provides a detailed summary of Jack Dongarra’s talk at the 9th Heidelberg Forum. Examining Dongarra’s contribution to the laureate lecture at this year’s HLF, Steckles provides a clear history of Dongarra’s work at Argonne, from the origins of LINPACK to the development of the TOP500 benchmark. Stating, “Hearing him talk about his work on high-performance computing and the developments he has been a part of over the years, it is easy to understand why he is so well-regarded,” Steckles came away from the lecture impressed, finding the material accessible and informative.
ISC Calls for Action
ISC High Performance 2023 connects public and industry users and technology developers in Hamburg, Germany, from May 21 – 25. ISC 2023 offers researchers in science and engineering a visible platform to create awareness for their discoveries. Join as a contributor, exhibitor, or attendee, and connect with over 3,000 HPC enthusiasts. The ISC 2023 topics are a timely response to the challenges in HPC, machine learning, data analytics, and quantum computing. These topics are woven into the invited and contributed programs.
Calls for Workshops are fast approaching with deadlines of November 3rd (with proceedings) and January 19th (without proceedings). Additionally, calls for research papers, tutorials, “Birds of a Feather” sessions, and posters remain open.
| ISC 2023 Opportunities | Submission Deadlines | Notification of Acceptance |
| Workshops | November 3, 2022 (w/ proceedings)January 19, 2023 (w/o proceedings) |
December 1, 2022 (w/ proceedings)February 16, 2023 (w/o proceedings) |
| Research Papers | December 23, 2022 | February 24, 2023 |
| Tutorials | January 11, 2023 | February 23, 2023 |
| Birds of a Feather | January 25, 2023 | February 28, 2023 |
| Research Posters | February 2, 2023 | March 2, 2023 |
| Project Posters | February 2, 2023 | March 2, 2023 |
UT is Gearing Up for SC22
Three computational science research centers from the University of Tennessee— the Global Computing Lab, the Innovative Computing Laboratory, and UTC SimCenter—will represent the university with their own booth (#613) at this year’s International Conference for High Performance Computing, Networking, Storage, and Analysis (SC22) on November 14–17 in Dallas, Texas. Drop by and say “Hello!”
Schedule of ICL Participation at SC22
Sunday, Nov. 13th
Monday, Nov. 14th
Tuesday, Nov. 15th
Wednesday, Nov. 16th
Thursday, Nov. 17th
Friday, Nov. 18th
