High Performance Computing
High Performance Computing (HPC) integrates high end hardware with highly tuned software to solve complex scientific problems. HPC simplifies and accelerates substantial computational components in a number of essential fields, such as genome sequencing and molecular dynamics in computational biology or cyber physical domains. HPC also applies data driven and AI techniques to diagnose and solve performance challenges in HPC systems themselves. HPC research at CISE focuses on improving performance, reducing cost, and making the systems more energy efficient by applying intelligent and interdisciplinary methods. Research areas cross-cut design automation (EDA), computer architecture, computer systems, and applied machine learning.
AI for Cloud Ops Project Featured in “Red Hat Research Quarterly”
Ayse Coskun (ECE) was featured on the cover of the “Red Hat Research Quarterly“ (RHRQ) May 2022 issue. Coskun discusses the need for operations-focused research on real-world systems and how artificial intelligence (AI) can push analytics to the speed of software deployment. Coskun is one of the Principal Investigators on the project “AI for Cloud Ops,” which […]
Balancing electricity demands and costs of high-performance computing
Some computational problems are so complex that they require many times more calculations than a typical laptop can handle. High performance computing (HPC) combines a number of computer servers to carry out these large-scale computations that often operate on massive data sets. But data centers for HPC require immense amounts of power and limiting power […]
Professor Coskun and Team Will Collaborate with Sandia Labs on Applying AI to HPC
Professors Ayse Coskun, Manuel Egele, and Brian Kulis in ECE have received a $500K grant from Sandia National Labs for their project “Al-based Scalable Analytics for Improving Performance, Resilience, and Security of HPC Systems”. HPC refers to High Performance Computing. This is the practice of collecting computing power so that a large system delivers high […]
Automated Analytics for Improving Efficiency, Safety, and Security of HPC Systems
Performance variations are becoming more prominent with new generations of large-scale High Performance Computing (HPC) systems. Understanding these variations and developing resilience to anomalous performance behavior are critical challenges for reaching extreme-scale computing. To help address these emerging performance variation challenges, there is increasing interest in designing data analytics methods to make sense out of the […]
AI-based Scalable Analytics for Improving Performance, Resilience, and Security of HPC Systems
Next generation large-scale High Performance Computing (HPC) systems face important cost and scalability challenges due to anomalous system and application behavior resulting in wasted compute cycles and the ever-growing difficulty of system management. There is an increasing interest in the HPC community in using AI-based frameworks to tackle analytics and management problems in HPC so […]
Ayse Coskun Recognized in Computing Research
Prof. Coskun earns two awards and two major grants in computing research Energy-efficient computing expert Professor Ayse Coskun was most recently recognized with grants from the National Science Foundation (NSF) and Sandia National Laboratories, a best paper award, and an early career award. NSF awarded the interdisciplinary team led by Prof. Coskun $234K (total award $700K, shared between […]
Paschalidis Hosts Symposium on Control and Network Systems
in NEWS by Liz Sheeley The 2nd Symposium on the COntrol of NEtwork Systems (SCONES) will be held on Monday, October 16 and Tuesday, October 17, 2017, at the Boston University Photonics Center. SCONES is being hosted by Professor Ioannis Paschalidis (ECE, BME, SE), the Editor-in-Chief of the IEEE Transactions on Control of Network Systems (TCNS), a publication sponsored by the IEEE Control Systems […]
SHF: Small: Reclaiming Dark Silicon via 2.5D Integrated Systems with Silicon Photonic Networks
Emerging applications in the growing domains of cloud, internet-of-things, and high-performance computing require higher levels of parallelism and much larger data transfers compared to applications of the past. In tandem, power and thermal constraints limit the number of transistors that can be used simultaneously on a chip and this limit has led to the ?Dark […]
CNS:CSR Collaborative Research: Leveraging Intra-chip/Inter-chip Silicon-Photonic Networks for Designing Next-Generation Accelerators
A little over a decade ago, GPUs were fixed-function processors built around a pipeline, dedicated to rendering 3-D graphics. In the past decade, as the potential for GPUs to provide massive compute parallelism became apparent, the software community developed new programming environments (CUDA and OpenCL) to leverage these massively parallel devices. Today, the leading graphics […]
XPS: FULL: CCA: Collaborative Research: Automatically Scalable Computation
For over thirty years, each generation of computers has been faster than the one that preceded it. This exponential scaling transformed the way we communicate, navigate, purchase, and conduct science. More recently, this dramatic growth in single processor performance has stopped and has been replaced by new generations of computers with more processors on them; […]