| NSF Org: |
CNS Division Of Computer and Network Systems |
| Recipient: |
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| Initial Amendment Date: | June 23, 2020 |
| Latest Amendment Date: | June 23, 2020 |
| Award Number: | 2027324 |
| Award Instrument: | Standard Grant |
| Program Manager: |
Matt Mutka
CNS Division Of Computer and Network Systems CSE Directorate for Computer and Information Science and Engineering |
| Start Date: | July 1, 2020 |
| End Date: | June 30, 2021 (Estimated) |
| Total Intended Award Amount: | $49,999.00 |
| Total Awarded Amount to Date: | $49,999.00 |
| Funds Obligated to Date: |
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| History of Investigator: |
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| Recipient Sponsored Research Office: |
2200 W MAIN ST DURHAM NC US 27705-4640 (919)684-3030 |
| Sponsor Congressional District: |
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| Primary Place of Performance: |
701 W Main St. Durham NC US 27701-5010 |
| Primary Place of
Performance Congressional District: |
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| Unique Entity Identifier (UEI): |
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| Parent UEI: |
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| NSF Program(s): | CSR-Computer Systems Research |
| Primary Program Source: |
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| Program Element Code(s): |
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| Award Agency Code: | 4900 |
| Fund Agency Code: | 4900 |
| Assistance Listing Number(s): | 47.070 |
ABSTRACT
Processing-In-Memory (PIM) is a promising technology that was proposed to eliminate the costly data transmission between memory and computing units in conventional computer architectures. An input data can be directly injected into the memory that stores a constant for a computation without loading the constant to the computing unit. Such a design is particularly suitable for many emerging computations, such as graph analytics and neuromorphic computing, where one of the operands is constant during the computation while only the input changes. By eliminating the data transmission between the memory and computing units, PIM can substantially improve the computational efficiency of these applications.
This project organizes a workshop to gather leading researchers and experts who have spent considerable effort and time studying Processing-In-Memory (PIM) technology. The proposed workshop will provide a forum for leading experts to consider in a synergistic manner a view of PIM technology from the perspective of circuits, architectures, systems, and applications. These researchers will discuss their visions of the critical challenges that need to be addressed in the near future. With the help of the participants, the workshop will produce a comprehensive report on the current state of the art and the outlook of PIM technology.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
PROJECT OUTCOMES REPORT
Disclaimer
This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.
Processing-In-Memory (PIM) is a promising technology that is believed to substantially improve efficiency of many emerging computations such as graph analytics, neuromorphic computing, deep learning, etc. Enabling PIM technology requires integrated efforts across multiple research thrusts. Five researchers from Duke University, University of Notre Dame, Washington State University, Technical University of Munich, and George Mason University with diverse technical backgrounds organized an online workshop, namely, NSF-sponsored Workshop on Processing-In-Memory (PIM) Technology ? Grand Challenges and Killer Applications (PIMT). PIMT provides a forum for leading experts with relevant expertise, specifically in circuit, architecture, systems, and applications to brainstorm the latest research progress and discuss their visions of the critical challenges of PIM that need to be addressed in the near future.
Due to COVID-19, the original on-campus workshop (at GMU) was changed to an online workshop in March 2021. The overall workshop had two components: (1) Online Pilot Talks and (2) Online Workshop. 6 pilot talks were organized online and public to registered attendees. The online workshop invited experts in this area for keynote presentations and each research thrust had its dedicated panel discussion. More than 100 researchers participated in the 1.5-day workshop. All the participants agree that PIM is a promising research direction with great potential in AI and other emerging applications. The identified challenges and technology roadmap offer valuable guidance to future relevant research.
Last Modified: 08/03/2021
Modified by: Yiran Chen
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