PPT-A Scalable Heterogeneous Parallelization Framework for

Iterative Local Searches Martin Burtscher 1 and Hassan Rabeti 2 1 Department of Computer Science Texas State UniversitySan Marcos 2 Department of Mathematics Texas State UniversitySan Marcos. f. or . Integrated CPU-GPU Systems. Jason Power*. , Arkaprava Basu*, . Junli. . Gu. †. , Sooraj Puthoor. †. ,. Bradford M Beckmann. †. , Mark D Hill*. †. , Steven K Reinhardt. †. , David A Wood*. The macroscopic mechanics of soft solids depends strongly on their microscopic structure and dynamics. Making a direct link between the length scales is a key objective. The MRSEC developed a rheoconfocal instrument, a hybrid between a rheometer and a high-speed spinning-disk confocal microscope; it unites the strengths of both techniques. This allows direct observations of microstructure and dynamics in the . 12/01/2009. . Air France, Sophia . Antipolis. . . Solutions. and Services for . Accelerating. . your. Applications. . ProActive Parallel Suite . . Speed-up . applications by distributing them over a set of resources . David . Kaser. Lecture Series. Lorcan Dempsey / . @. LorcanD. Indiana University, . 7 October 2012. How terrific to see you are the featured lecturer this year.   Just thought I'd mention that David . via. Merge Semantics in STMs. Kaushik. . Ravichandran. (kaushikr@gatech.edu). Santosh. . Pande. (santosh@cc.gatech.edu) . College of Computing. Georgia Institute of Technology. Introduction. Connected Components Problem and Speculative Parallelization. Aaron M. Schinder, . Prof. Mitchell . Walker, . Prof. Julian . Rimoli. High-Power . Electric Propulsion Lab. Georgia Institute of Technology . 49th AIAA/ASME/SAE/ASEE Joint Propulsion Conference & Exhibit . Commutativity. Rule: Designing Scalable Software for Multicore Processors. Austin T. Clements, M. . Frans. . Kaashoek. , . Nickolai. . Zeldovich. , Robert T. Morris, and Eddie Kohler. MIT CSAIL and Harvard University. Kaushik. . Rajan. Abhishek. . Udupa. William Thies. Rigorous Software Engineering. Microsoft Research, India. Parallelization Reconsidered. Are there dependences between loop iterations?. No. Yes. DOALL Parallelism. Processors. Presented by . Remzi. Can . Aksoy. *Some slides . are. . borrowed from a ‘Papers We Love’ . Presentation. EECS 582 – F16. 1. Outline. The . Scalable Commutativity Rule: . Whenever interface operations commute, they can be implemented in a way that scales. Luis . Herranz. Arribas. Supervisor: Dr. José M. Martínez Sánchez. Video Processing and Understanding Lab. Universidad . Aut. ónoma. de Madrid. Outline. Introduction. Integrated. . summarization. Larry Peterson. In collaboration with . Arizona. , Akamai. ,. . Internet2. , NSF. , North Carolina, . Open Networking Lab, Princeton. (and several pilot sites). S3. DropBox. GenBank. iPlant. Data Management Challenge. Objective: develop technologies to improve computer performance. . . 1. Processor. Generation. Max. Clock. Speed (GHz). Max. Numberof Cores. Max. RAM. Bandwidth (GB/s). Max. Peak Floating Point (Gflop/s). C. omputing Lab. . . 1. Lab Director: Jason D. Bakos. . Heterogeneous and Reconfigurable Computing Group. Objective: develop technologies to improve computer performance. . . 2. Processor. Large scale computing systems. Scalability . issues. Low level and high level communication abstractions in scalable systems. Network interface . Common techniques for high performance communication.