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Master Program (Laurea Magistrale) in Computer Science and Networking

Master Program (Laurea Magistrale) in Computer Science and Networking

Master Program (Laurea Magistrale) in Computer Science and Networking High Performance Computing Systems and Enabling Platforms Marco Vanneschi. 4. Shared Memory Parallel Architectures 4.5. Multithreading, Multiprocessors , and GPUs. Contents.

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505 views • 37 slides
OWL: Cooperative Thread Array (CTA) Aware Scheduling Techniques for Improving GPGPU Performance

OWL: Cooperative Thread Array (CTA) Aware Scheduling Techniques for Improving GPGPU Performance

OWL: Cooperative Thread Array (CTA) Aware Scheduling Techniques for Improving GPGPU Performance. Adwait Jog , Onur Kayiran, Nachiappan CN, Asit Mishra, Mahmut Kandemir, Onur Mutlu, Ravi Iyer, Chita Das. Super Computers. Desktops. Laptops. Tablets. Smartphones. Gaming Consoles.

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347 views • 33 slides
Benchmarking Parallel Code

Benchmarking Parallel Code

Benchmarking Parallel Code. Benchmarking. What are the performance characteristics of a parallel code? What should be measured?. Experimental Studies. Write a program implementing the algorithm Run the program with inputs of varying size and composition

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370 views • 27 slides
ParalleX : Towards a New Parallel Execution Model for Scalable Programming and Architectures

ParalleX : Towards a New Parallel Execution Model for Scalable Programming and Architectures

A Presentation to CGCSC 2006:. ParalleX : Towards a New Parallel Execution Model for Scalable Programming and Architectures. Thomas Sterling Louisiana State University California Institute of Technology Oak Ridge National Laboratory September 11, 2006. Parallel Computing Challenges.

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255 views • 25 slides
Latency Hiding in Dynamic Partitioning and Load Balancing of Grid Computing Applications

Latency Hiding in Dynamic Partitioning and Load Balancing of Grid Computing Applications

Latency Hiding in Dynamic Partitioning and Load Balancing of Grid Computing Applications. Sajal K. Das and Daniel J. Harvey Department of Computer Science and Engineering The University of Texas at Arlington E-mail: {das,harvey}@cse.uta.edu Rupak Biswas NASA Ames Research Center

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343 views • 22 slides
Roadmap and Change How Much and How Fast

Roadmap and Change How Much and How Fast

Presentation to 2004 Workshop on Extreme Supercomputing Panel :. Roadmap and Change How Much and How Fast. Thomas Sterling California Institute of Technology and NASA Jet Propulsion Laboratory October 12, 2004. 2 9 Years Ago Today. Linpack Zettaflops in 2032. 10 Zflops. 1 Zflops.

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277 views • 15 slides

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