'Multi core' presentation slideshows

ETM 555 Supplementary Lecture Notes Version 5. / 201 2 Contents:

ETM 555 Supplementary Lecture Notes Version 5. / 201 2 Contents: Part 1: Hardware / Software Systems , Grid / Cloud Computing. Part 1 Hardware / Software Systems , Grid Computing. Hardware Parallel/Distributed Processing High Performance Computing Top 500 list Grid computing.

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picture of Tianhe, the most powerful computer in the world in Nov- 20 10

CMPE 478 Parallel Processing. picture of Tianhe, the most powerful computer in the world in Nov- 20 10. Von Neumann Architecture. RAM. CPU. Device. Device. BUS. sequential computer. Memory Hierarchy. Fast. Registers. Cache. Real Memory. Disk. Slow. CD.

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Serial Code Accelerators for Heterogeneous Multi-core Processor with 3D memory

Serial Code Accelerators for Heterogeneous Multi-core Processor with 3D memory. Philip Jacob Thesis Defense July 26 rd 2010. Committee members John F. McDonald Tong Zhang Paul Schoch Christopher D. Carothers. Outline. Need for Serial code accelerator Clock Race Multi-core CMOS

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Multi-core architectures

Multi-core architectures. Single-core computer. Single-core CPU chip. Multi-core architectures. This lecture is about a new trend in computer architecture: Replicate multiple processor cores on a single die. Multi-core CPU chip. The cores fit on a single processor socket

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Multi-Core Computing

Ahmad Aljebaly Department of Computer Science Western Michigan University. Multi-Core Computing. Agenda. Introduction Motivation for Multi-Core What is multi-core processor? Properties of Multi-core systems Applications benefit from multi-core Multiprocessor memory types

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Allegorithmic Substance

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Efficient Data Access in Future Memory Hierarchies

Efficient Data Access in Future Memory Hierarchies. Rajeev Balasubramonian School of Computing Research Buffet, Fall 2010. Acks. Terrific students in the Utah Arch group Collaborators at HP, Intel, IBM Prof. Al Davis, who re-introduced us to memory systems. Current Trends.

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Current Trends in CMP/CMT Processors

Current Trends in CMP/CMT Processors. Wei Hsu 7/26/2006. Trends in Emerging Systems. Industry and community could previously rely on increased frequency and micro-architecture innovations to steadily improve performance of computers each year superscalar, out-of-order issue,

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Optimizing N-body Simulations for Multi-core Compute Clusters

Optimizing N-body Simulations for Multi-core Compute Clusters. Advisor: Dr. Aamir Shafi. Ammar Ahmad Awan BIT-6. Co-Advisor: Mr. Ali Sajjad. Member: Dr. Hafiz Farooq. Member: Mr. Tahir Azim. Introduction Design & Implementation Performance Evaluation Conclusions and Future Work.

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Wei Dong, Peng Li, Xiaoji Ye Department of ECE, Texas A&M University

WavePipe: Parallel Transient Simulation of Analog and Digital Circuits on Multicore Shared-Memory Machines. Wei Dong, Peng Li, Xiaoji Ye Department of ECE, Texas A&M University {weidong, pli, yexiaoji} @ neo.tamu.edu. Courtesy Intel. Courtesy AMD. Courtesy IBM. Multi-Core Implications.

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????? /Multi-Core

????? /Multi-Core. ??????? ?? Background of Multi-Core CMOS ?????? CMOS transistor ?????????????? ?? Typical structures of Multi-Core ??? ??? Technical issues Cache ??????????? ?? Cache coherence control ????? ????? Parallelization. ??????? ?? Background of Multi-Core.

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Vinay Hanumaiah, Sarma Vrudhula and Karam S. Chatha Dept of Computer Science and Engineering

Maximizing Performance of Thermally Constrained Multi-core Processors by Dynamic Voltage and Frequency Control. Vinay Hanumaiah, Sarma Vrudhula and Karam S. Chatha Dept of Computer Science and Engineering. Need for Thermal Management. Power Wall. Source: Sun Microsystems.

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Managing a Dynamic Sharded Pool

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On Parallel Computation o f exp(x) based on Master-Worker Paradigm

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Multi-core processors

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Cloud Computing

Technology context: multi-core, virtualization, 64-bit processors, parallel computing models, big-data storages

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Scalability of Optimization Techniques used in Multi-Core

Scalability of Optimization Techniques used in Multi-Core. Presented by: Peyman Dec 2007. Overview. General Techniques Focusing on Intel Available Tools Scalability of the Tools Conclusion. General Techniques. Program Transformation Optimizing Communication Links

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Heterogeneous multi-core

Heterogeneous multi-core. Heterogeneous Multi-core. Background : a long tradition of multi-core for dedicated fields of applications (Telecom / Augmented reality). GENEPY 65 nm With CSEM. FAUST 130 nm hereto multi-core Streaming model NoC, GALS Telecom. MAG3D 65 nm With ST & STE WIDEIO

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Back End Compiler Panel

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