Welcome to the MGHPCC Virtual Booth

Boston University

AI for HPC Analytics

Seeking to improve the energy efficiency of high-performance computing.

The Performance and Energy Aware Computing Lab (PEACLab) at Boston University is focused on making computing more energy-efficient. Led by Prof. Ayse K. Coskun research in the group encompasses work on large-scale computing systems analytics and optimization, and designing future energy-efficient computing systems.

In this video, lab members share their work on applied machine learning for performance analytics, and how smart grids can help a move towards more sustainable IT.

https://www.bu.edu/peaclab
Ayse Coskun
Professor, Electrical and Computer Engineering Department, Boston University

Consortium

Featured projects

Knowledge Base
SC22 Project
Climate Health and Air Pollution in India
SC22 Project
NASA Arctic-Boreal Vulnerability Experiment (ABoVE)
Holyoke Codes: Broadening Participation in Computer Science Education
SC22 Project
AI Computing and the AI Jumpstart Cluster
SC22 Project
AI for Dementia Assessment
SC22 Project
Measuring Nationwide Park Access
SC22 Project
Quantifying Risk, Resilience, and Uncertainty with Machine Learning and HPC
SC22 Project
Refugee Migration and Return on Social Media
SC22 Project
Modeling Molecular Dynamics for Drug Delivery
SC22 Project
SC22 Student Cluster Competition
SC22 Project
Expanding Computing Education Pathways (ECEP) Alliance
SC22 Project
Machine Learning and Wastewater
SC22 Project
Exploring the Earth Using Seismology
SC22 Project
Candidate Driver Analysis of Multi-omics Data (CaDrA)
SC22 Project
OpenCilk
SC22 Project
Wearable Health Technology
SC22 Project
Deepfake Caricatures
SC22 Project
Invisible Tags
SC22 Project
ElectroVoxels: Modular Self-reconfigurable Robots
SC22 Project
Color Changing Objects
SC22 Project
The Mass Open Cloud Alliance (MOC Alliance)
SC22 Project
Open Cloud Testbed (OCT)
SC22 Project
Ecosystem for Research Networking (ERN)
SC22 Project
Open Storage Network (OSN)
SC22 Project
ACCESS Support (MATCH)
SC22 Project
ConnectCI
Ask.CI
SC22 Project
The UMass-URI Gravity Research Consortium (U2GRC)
SC22 Project
Billion Object Platform
SC22 Project
Predicting Kinetic Solvent Effects
SC22 Project
The Rhode Island Coastal Hazards Analysis, Modeling, and Prediction System (RICHAMP)
SC22 Project
Predicting Reaction Barrier Heights
SC22 Project
Aviation Weather Decision Support Laboratory Tour
SC22 Project
Sensorimotor Technology Realization in Immersive Virtual Environments (STRIVE)
SC22 Project
Conclave Cloud Dataverse: Protected Computing in the Datacenter
SC22 Project
Large-Scale Brain Mapping
SC22 Project
AI for HPC Analytics
SC22 Project
Offshore Precipitation Capability (OPC) System
SC22 Project
The Forensic Video Exploitation and Analysis (FOVEA) Tool Suite
SC22 Project
Next Generation Aircraft Collision Avoidance System ACAS X
SC22 Project
Learning-Task Informed Abstractions
Migration of Path Integral Quantum Monte Carlo Software
Tackling COVID-19 with Distributed Computing and Citizen Science
Exploring Shared Memory Multi-GPU Computing
Developing Computer Vision Capabilities for Disaster Response
VEIA: In Depth
Detecting Horizontal Gene Transfer
Development of an Automated High-Throughput Animal Training Platform
Research Software Engineering at Harvard University
Research Software Engineering
Tuning R Code to Unleash Performance
Hyperspectral Workflow
Art through Machine Learning
Managing HPC Power Use
LLSC Articles and Publications
GLEAM: Global Epidemic and Mobility project
Software for Unreliable Quantum Computers
FlyNet
Understanding Fungal Pathogenicity through Genomics
Data Centric Low Emission Mobility
MIT Laboratory for Financial Engineering
Air Force Arcade
VEIA: An Overview
Simulating Large Biomolecular Assemblies
Lichtman Lab - Center for Brain Science
Black Hole Initiative
Airborne Optical Systems Test Bed (AOSTB)
MIT Initiative on the Digital Economy
Low Altitude Disaster Imagery (LADI) Dataset
Fast Accurate NURBS Optimization (FANO)
Colosseum
Lincoln Laboratory Supercomputing Center (LLSC)
Center for Scientific Computing and Data Science (CSCDR)
Foldit
The Center for Information and Systems Engineering (CISE)
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