PPT-Memory-Efficient Optimization of Gyrokinetic Particle-to-Grid Interpolation for Multicore
Author : grant573 | Published Date : 2024-11-08
Gyrokinetic ParticletoGrid Interpolation for Multicore Processors Kamesh Madduri Samuel Williams Stephane Ethier Leonid Oliker John Shalf Erich Strohmaier
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Memory-Efficient Optimization of Gyrokinetic Particle-to-Grid Interpolation for Multicore: Transcript
Gyrokinetic ParticletoGrid Interpolation for Multicore Processors Kamesh Madduri Samuel Williams Stephane Ethier Leonid Oliker John Shalf Erich Strohmaier Katherine Yelick . Multidimensions. Yunfei. . duan. . Hui . Pan. Bilinear interpolation . The concept of linear interpolation between two points can be extended to bilinear interpolation within the grid cell.. http://en.wikipedia.org/wiki/Bilinear_interpolation. FAWN. :. Workloads and Implications. Vijay . Vasudevan. , David Andersen, Michael . Kaminsky. *, Lawrence Tan, . Jason Franklin. , . Iulian. . Moraru. Carnegie Mellon University, *Intel Labs Pittsburgh. – . From hardware prospective to software. Presenter: D96943001 . 電子所 陳泓輝. Why Moore’s Law is die. He is not CEO anymore!!. Walls => ILP, Frequency, Power, Memory walls. ILP – more cost less return. Contents . Vector processor. Vector instructions. Vector pipelines. Scalar pipeline execution. Vector pipeline execution. Symbolic processors. Attributes. Characteristics. Vector Processors. A vector processor is specially designed to perform vector computations.. Collin . Bezrouk. 2-24-2015. Discussion Reference. Some of this material comes from . Spacecraft Trajectory Optimization. (Ch. 7) by Bruce Conway.. Optimization Problem Setup. Optimization problems require the following:. Evangelia A. Sitaridi, Kenneth A. Ross. Columbia University. DaMoN Workshop. 21st May 2012. . Introduction (1/2). Earlier GPU implementations of data processing operators have resulted in significant speedups. Presented by. : . Samia. . Abid. Student: MS(CS). Supervised by: Dr. . Nadeem. . Javaid. Associate Professor, Department of Computer Science, . COMSATS Institute of Information . Technology, 44000, Islamabad, Pakistan.. Zhu, Eric L. Turner, Christian R. Berger, Larry . Pileggi. , Franz . Franchetti. September 22, 2011. Application-Specific Logic-in-Memory for. Polar Format Synthetic Aperture Radar. . Application-Specific Logic-in-Memory. Evangelia A. Sitaridi, Kenneth A. Ross. Columbia University. DaMoN Workshop. 21st May 2012. . Introduction (1/2). Earlier GPU implementations of data processing operators have resulted in significant speedups. FAWN. :. Workloads and Implications. Vijay . Vasudevan. , David Andersen, Michael . Kaminsky. *, Lawrence Tan, . Jason Franklin. , . Iulian. . Moraru. Carnegie Mellon University, *Intel Labs Pittsburgh. 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.. Multidimensions. Yunfei. . duan. . Hui . Pan. Bilinear interpolation . The concept of linear interpolation between two points can be extended to bilinear interpolation within the grid cell.. http://en.wikipedia.org/wiki/Bilinear_interpolation. . 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. Samuli Laine Tero Karras. NVIDIA Research. “Bitmaps” vs “Vectors”. 2. Bitmap 2D image. Vector 2D image. Why Not “Bitmaps” in 3D?. 3. ?. “Bitmap” 3D object. Vector 3D object. Voxel datasets often consist of volume data .
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