PPT-Using SWARM service to run a Grid based EST Sequence Assembly

Karthik Narayan Primary Advisor Dr Geoffrey Fox 1 Outline 2 Objective EST Sequence Assembly The Problem SWARM Tools Results Future Work Objective Use the SWARM service and leverage the High Performance clusters for EST Sequence Assembly. 5 m run 6 x 400 5K pace 3 m run strength Rest or easy run Rest 5K Race Stretch Strengthen 35 m run 35 min tempo run 3 m run strength Rest 3 m run 7 m run Stretch Strengthen 4 m run 7 x 400 5K pace 3 m run strength Rest 3 m pace 8 m run Stretch 1 RACE RUNNING TERMS FLEX DAY The best day of the week to substitute your run with a cro ss training session or a day o57375 REGULAR RUN Reg Run A run performed at a comfortable nottoohard pace EASY RUN A recovery run during which you focus on runni COMP308. Swarming – The Definition. aggregation of similar animals, generally cruising in the same direction. Termites swarm to build colonies. Birds swarm to find food. Bees swarm to reproduce. Swarming is Powerful. A path toward determining short-term probabilities. Andrea . Llenos. USGS Menlo Park. Workshop on Time-Dependent Models in UCERF3. 8 June 2011. Outline. Motivation: Why are swarms important for UCERF?. Aurora Kraus MD*, JD*, PhD*, . *Pending. Expressed sequence tag. Expressed. Sequence . Tags. Importance. Gene exploration. Populating databases. Random . Cheap + quick(. er. ) at time. Less interested in accuracy . Swarm Intelligence: Develop systems where sets of agents of agents solve problems without centralized control intelligently. . Agent-based Modeling and Simulation (Develop models of agent-based systems in nature, business, society…). What are Swarms. Swarming is the natural means of reproduction of honey bee colonies.. A . new honey bee colony is formed when the queen bee leaves the colony with a large group of worker . bees.. In . Bait Hives & Swarm Traps. Presented to the. Wasatch Beekeepers Association. b. y. George Denton. March 20, 2017. Ways. to Get . N. otified. About a Swarm. Get on the Swarm List here. at the WBA. Jacob Katz. , . Swati. Mohan, and David W. Miler. MIT Space Systems Laboratory. AIAA . Infotech@Aerospace. 2010. April 22, 2010. 1. Autonomous On-Orbit Assembly. Enabling technology for. Large telescopes. Interconnected computer systems where the machines utilize the same resources collectively. . Grid computing usually consists of one main computer that distributes information and tasks to a group of networked computers to accomplish a common goal.. . Algorithm. Decision Support. 2010-2011. Andry Pinto. Hugo Alves. Inês Domingues. Luís Rocha. Susana Cruz. Summary. Introduction to Particle Swarm Optimization (PSO). Origins. Concept . PSO Algorithm. Background. What is a Swarm Intelligence (SI)?. Examples from nature. Origins and Inspirations of SI. Ant Colony Optimization. Particle Swarm Optimization. What is a Swarm?. A loosely structured collection of interacting agents. Nils Olsen and the Swarm SCARF Team. Swarm Data Overview. Magnetic Level 1b Data assessment. SCARF: Level 2 Data Products and Processing. Model of the Earth’s magnetic field including Swarm data. Patrick . Swarming – The Definition. aggregation of similar animals, generally cruising in the same direction. Termites swarm to build colonies. Birds swarm to find food. Bees swarm to reproduce. Swarming is Powerful.