Description
Chairperson: Robert Underwood (ANL)
Modern scientific instruments, such as detectors at synchrotron light sources, generate data at such high rates that online processing is needed for data reduction, feature detection, experiment steering, and other purposes. Leadership computing facilities (e.g., ALCF) are deploying mechanisms that would enable these applications to acquire (a portion of) HPC resources on-demand. These...
Deep learning (DL) is widely used to solve classification problems previously unchallenged, such as face recognition, and presents clear use cases for privacy requirements. Homomorphic encryption (HE) enables operations upon encrypted data, at the expense of vast data size increase. RAM sizes currently limit the use of HE on DL to severely reduced use cases. Recently emerged persistentmemory...
Exascale systems draw a significant amount of power. As each application
deployed map to the various heterogeneous computing elements of these
platforms, managing how power is distributed across components becomes a
priority. The ECP Argo project is developing an infrastructure for node-local control loops that can observe application behavior and adjust resources dynamically, power...
Recent advancements in High-Speed NICs have gained a speed of 400 Gbps and achieved the status of SmartNICs by enabling offloads for cryptography and virtualization. Data Processing Units (DPUs) are taking this development further by integrating performant processing cores on the SmartNIC itself.
The DOCA API for programming BlueField DPUs requires proficiency in network technologies. We...
Distributed digital infrastructures for computation and analytics are now evolving towards an interconnected ecosystem allowing complex scientific workflows to be executed from IoT Edge devices to the HPC Cloud (aka the Computing Continuum). Understanding and optimizing the performance of workflows in such a complex Edge-to-Cloud Continuum is challenging. This breaks down to reconciling many,...
On a recent visit to NSF, I was asked about how Blue Waters was decommissioned. After describing the process, they asked me if I would write a paper/report on the process and the environmental impact. This expanded from the typical paper about the energy used by supercomputers to interest in the e-waste and other impacts. In fact, some recent decadal reports form science domains (e.g....
Data compression is becoming a major topic in HPC, remote sensors, and scientific instrument communities. As a result, various software compression software has been developed. In addition, there is a huge interest in applying scientific data compression for real-time and streaming processing scenarios. However, software-only implementations may be challenging or impossible to meet the...
