'Memory size' presentation slideshows

CUDA Programming Model Overview Hardware Hierarchy and Optimization

CUDA Programming Model Overview Hardware Hierarchy and Optimization. Yukai Hung a0934147@gmail.com Department of Mathematics National Taiwan University. CUDA Development Environment. CUDA Development Environment. for developers who wants low-level APIs. for developers who

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COE 561 Digital System Design & Synthesis Two-Level Logic Synthesis

COE 561 Digital System Design & Synthesis Two-Level Logic Synthesis. Dr. Aiman H. El-Maleh Computer Engineering Department King Fahd University of Petroleum & Minerals [Adapted from slides of Prof. G. De Micheli: Synthesis & Optimization of Digital Circuits]. Outline.

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Module R2

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CloudScale : Elastic Resource Scaling for Multi-Tenant Cloud Systems

CloudScale : Elastic Resource Scaling for Multi-Tenant Cloud Systems. Zhiming Shen, Sethuraman Subbiah , Xiaohui Gu , John Wilkes. CloudScale : Background. Background and Motivation

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Encryption Development System Project Part A Characterization

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Machine Learning-based Autotuning with TAU and Active Harmony

Machine Learning-based Autotuning with TAU and Active Harmony. Nicholas Chaimov University of Oregon Paradyn Week 2013 April 29, 2013. Outline. Brief introduction to TAU Motivation Relevant TAU Tools: TAUdb PerfExplorer Using TAU in an autotuning workflow

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Synthesis of Embedded Software Using Free-Choice Petri Nets

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E3165 DIGITAL ELECTRONIC SYSTEM

E3165 DIGITAL ELECTRONIC SYSTEM. 2.0 INTRODUCTION. Capability of processor determine the capability of the computer system. Therefore, processor is the key element or heart of a computer system.

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Data Structure Optimization for Power-Efficient IP Lookup Architectures

Data Structure Optimization for Power-Efficient IP Lookup Architectures. Author : Weirong Jiang and Viktor K. Prasanna Publisher: IEEE TRANSACTIONS ON COMPUTERS, 2012 Presenter: Li- Hsien , Hsu Data: 10/03/2012. Introduction(1/4).

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CSC Track Finder upgrade

CSC Track Finder upgrade. Focusing on algorithm logic now Design Performance evaluation Hardware details will come later. CSC Track Finder upgrade. Current design is totally adequate for LHC luminosity 2 LCTs (di-muon signal) + 1 (background) = 3 LCTs per Port Card per BX

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CS179: GPU Programming

CS179: GPU Programming. Lecture 7: Lab 3 Recitation. Today. Miscellaneous CUDA syntax Recap on CUDA and buffers Shared memory for an N-body simulation Flocking simulations Integrators. CUDA Kernels. Launching the kernel: kernel<<< gridDim , blockDim , sMemSize >>>( args );

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CS179: GPU Programming

CS179: GPU Programming. Lecture 7: Lab 3 Recitation. Today. Miscellaneous CUDA syntax Recap on CUDA and buffers Shared memory for an N-body simulation Flocking simulations Integrators. CUDA Kernels. Launching the kernel: kernel<<< gridDim , blockDim , sMemSize >>>( args );

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CS 213 Lecture 10: Multiprocessor 3: Directory Organization

CS 213 Lecture 10: Multiprocessor 3: Directory Organization. Larger MPs. Separate Memory per Processor Local or Remote access via memory controller 1 Cache Coherency solution: non-cached pages Alternative: directory per cache that tracks state of every block in every cache

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Registers

Registers. Flip-flops are available in a variety of configurations. A simple one with two independent D flip-flops with clear and preset signals is illustrated on the following slide. Although packaged together, the two flip-flops are unrelated.

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Kernel III

Kernel III. Makoto Asai (SLAC) Geant4 Tutorial Course. Contents. Fast simulation (Shower parameterization) Multi-threading Computing performance. Fast simulation (shower parameterization). Fast simulation - Generalities.

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Hermes: An Integrated CPU/GPU Microarchitecture for IPRouting

Hermes: An Integrated CPU/GPU Microarchitecture for IPRouting. Author : Yuhao Zhu , Yangdong Deng , Yubei Chen Publisher: DAC'11, June 5-10, 2011, San Diego, California, USA Presenter: Ye- Zhi Chen Date: 2011/10/5. Introduction.

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Score-P hands-on: NPB-MZ-MPI / BT (cont . )

Score-P hands-on: NPB-MZ-MPI / BT (cont . ). Performance Analysis Steps. 0.0 Reference preparation for validation 1.0 Program instrumentation 1.1 Summary measurement collection 1.2 Summary analysis report examination 2.0 Summary experiment scoring

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MB V Mb/ Mbits

MB V Mb/ Mbits. What is the difference?. The difference? MB. One is a measure of data storage Byte 8 bits, 1 ASCII encoded text. Kilobyte KB or K Text in Chapter 2 in Beekman reflects 169K of data Megabyte or meg or MB Gigabyte or gig or GB The other is a measure of Data Transfer. Mb.

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<br /> <b>Fatal error</b>: Allowed memory size of 67108864 bytes exhausted (tried to allocate 491520 bytes) in <b>/home/gdi/public_html/wp-includes/script-loader.php</b> on line <b>252</b><br /> .

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ECE447: Class Exercise 12 Programming in assembly language

ECE447: Class Exercise 12 Programming in assembly language. Write a function in assembly language of 68HC11 that transfers 128 bytes of data starting at address $2000 to the block of memory starting at address $6000. Write the following two versions of this function:

158 views • 1 slides