Multi-Paradigm Scheduling for Distributed Real-Time Embedded Computing Christopher D. Gill and Ron K. Cytron Douglas C. Schmidt Department of Computer Science

Source URL: www.cs.wustl.edu

Throughput-Constrained Voltage and Frequency Scaling for Real-time Heterogeneous Multiprocessors Pengcheng Huang Orlando Moreira

Source URL: www.tik.ethz.ch

• Operations research
• Engineering
• Electronic engineering
• Electrical engineering
• Parallel computing
• Mathematical optimization
• Algorithm
• Throughput
• Phase-locked loop
• Scheduling
• Unfolding
• Integer programming

Policies for Dynamic Clock Scheduling Dirk Grunwald Charles B. Morrey III Philip Levis Michael Neufeld

Source URL: csl.stanford.edu

• Computing
• Computer hardware
• Central processing unit
• Computer engineering
• Energy conservation
• Scheduling
• Computer architecture
• Clock signal
• Idle
• Dynamic voltage scaling
• Power management
• Multi-core processor

Run and Be Safe: Mixed-Criticality Scheduling with Temporary Processor Speedup Pengcheng Huang, Pratyush Kumar, Georgia Giannopoulou, Lothar Thiele Computer Engineering and Networks Laboratory, ETH Zurich, 8092 Zurich, S

Source URL: www.tik.ethz.ch

• Computing
• Engineering
• Technology
• Analysis of parallel algorithms
• Parallel computing
• Speedup
• Real-time computing
• Mixed criticality
• Worst-case execution time
• Scalability

Analysis of Fair Queueing schedulers in Real Systems Luigi Rizzo Universita‘ di Pisa Paolo Valente Universita‘ di Modena e Reggio Emilia

Source URL: info.iet.unipi.it

• Computing
• Network performance
• Scheduling algorithms
• Computer networking
• Computer network security
• Denial-of-service attacks
• Robust random early detection
• Network scheduler
• Fair queuing
• Scheduling
• Transmission Control Protocol
• Schedule

Neuroscience Gateway Development Author: Gokul Swamy (Del Norte High School ‘16) Mentors: Amit Majumdar: NSG Principal Investigator, SDSC, La Jolla CA, 92093 Subha Sivagnanam: NSG Co- PI, SDSC, La Jolla CA, Abst

Source URL: www.nsgportal.org

• Concurrent computing
• Parallel computing
• Computing
• Neuroscience
• Cluster computing
• Free software
• Grid computing
• Job scheduling
• Slurm Workload Manager
• Attention
• Neuroscientist

Run and Be Safe: Mixed-Criticality Scheduling with Temporary Processor Speedup TIK Report No. 357 Pengcheng Huang, Pratyush Kumar, Georgia Giannopoulou, Lothar Thiele Computer Engineering and Networks Laboratory, ETH Zur

Source URL: www.tik.ethz.ch

• Real-time computing
• Analysis of parallel algorithms
• Scheduling
• Computing
• Speedup
• Technology
• Worst-case execution time
• Task

Autonomous, Collaborative Control for Resilient Cyber Defense (ACCORD) Stuart Wagner, Eric van den Berg, Jim Giacopelli, Andrei Ghetie, Jim Burns, Miriam Tauil Applied Communication Sciences, Inc. Piscataway, NJ

Source URL: www.princeton.edu

• Computing
• Concurrent computing
• Cloud infrastructure
• Parallel computing
• Job scheduling
• Apache Hadoop
• Apache Software Foundation
• Computer cluster
• Cloud computing
• Scheduling
• Load balancing

Energy Efficient DVFS Scheduling for Mixed-Criticality Systems Pengcheng Huang, Pratyush Kumar, Georgia Giannopoulou, Lothar Thiele Computer Engineering and Networks Laboratory, ETH Zurich, 8092 Zurich, Switzerland first

Source URL: www.tik.ethz.ch

• Operations research
• Computational problems
• Mixed criticality
• Safety engineering
• Software engineering
• Systems engineering
• Power management
• Mathematical optimization
• Optimization problem
• Systems science
• Computing
• Systems theory

Bridging the Gap: Programming Sensor Networks with Application Specific Virtual Machines UCB//CSDPhilip Levis† , David Gay‡ , and David Culler† {pal,culler}@cs.berkeley.edu,

Source URL: csl.stanford.edu

• Computing
• Wireless sensor network
• Software
• System software
• TinyOS
• NesC
• Sensor node
• VM
• Concurrent computing
• Transmission Control Protocol
• Scheduling
• Communications protocol