Fault Simulation, Detection and Analysis for Monte Carlo Computational Resilience
Published: | 1:55 pm | Posted in: Events
Speaker: Sharanya Jayaraman Date: Jan 12, 11:45am–12:45pm Abstract and Bio: Computational Resilience represents the process of upholding the correctness and efficiency of computing systems, even in the face of inherent faults and challenges. As Large Scale High-Performance applications grow in size and scope they become increasingly susceptible to diverse fault types. With recovery times for […]
Representation Space of Transformers
Published: | 10:29 pm | Posted in: Events
Speaker: Xiuwen Liu Date: Dec 8, 2023, 2:15 – 3:10 PM Abstract: Pretrained large foundation models play a central role in the recent surge of artificial intelligence, resulting in finetuned models with remarkable abilities when measured on benchmark datasets, standard exams, and applications. Due to their inherent complexity, these models are poorly understood. While small […]
Lossy Compression for Scientific Applications on HPC
Published: | 1:17 pm | Posted in: Events
Speaker: Kai Zhao Date: Dec 1, 2023, 2:15 – 3:10 PM Abstract: The rapid development of artificial intelligence technologies and the explosive growth of data in petascale and exascale systems have brought critical challenge s to high-performance computing (HPC) systems. Today’s scientific simulations ar e producing vast volumes of data that cannot be stored and […]
Quantum Circuit Decomposition and Routing Collaborative Design
Published: | 5:02 pm | Posted in: Events
Speaker: Alex Jones Date: Nov 20, 11:45am–12:45pm Abstract and Bio: Alex K. Jones is a Professor of Electrical and Computer Engineering. He is also a Professor of Computer Science and Physics and Astronomy (by courtesy) at the University of Pittsburgh. He is currently on leave from Pitt to serve as a Program Director in the […]
Stochastic Computational Electrostatics and Applications: Computing Capacitance
Published: | 12:20 pm | Posted in: Events
Speaker: Michael Mascagni Date: Oct 27, 2023, 2:15 – 3:10 PM Abstract: We are interested in using stochastic (Monte Carlo) methods to solve problems that are relevant to electrostatics and specifically to semiconductor design. Thus, we begin by introducing what Monte Carlo are and show how they can be used to compute several numerical quantities. […]