PPT-Designing Memory Systems for Tiled Architectures

Author : briana-ranney | Published Date : 2016-07-28

Anshuman Gupta September 18 2009 1 Multicore Processors are abundant Multicores increase the compute resources on the chip without increasing hardware complexity

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Designing Memory Systems for Tiled Architectures: Transcript


Anshuman Gupta September 18 2009 1 Multicore Processors are abundant Multicores increase the compute resources on the chip without increasing hardware complexity Keeps power consumption within the budgets. Software Architectures XIX Software Architectures Software Architectures UML Packages ClientServer vs PeertoPeer Horizontal Layers and Vertical Partitions 3Tier and 4Tier Architectures The ModelViewController Architecture Broker Architectures for Di Tiled oors in entrance halls and public areas serve both as a decorative and practical feature of many period houses. Hardwearing and easy to clean, these surfaces are both functional and visuall Lecture 4 – Distributed System Architectures. Professor Timothy Arndt. BU 331. Architectures. We distinguish between . software architectures. (how are software module/components structured) and . Tomofumi. Yuki. and Sanjay . Rajopadhye. Parametric Tiling. Series of advances. Perfect loop nests . [. Renganarayanan2007]. Imperfectly nested . loops . [. Hartono2009, Kim2009]. Parallelization . Effects of Application Interference. Scheme. Summary. Performance . Benefits. Onur Kayıran. 1. . Nachiappan CN. 1. Adwait Jog. 1. Rachata Ausavarungnirun. 2. . Mahmut T. Kandemir. 1. Gabriel H. Loh. Software Architecture. Describe how the various software components are to be organized and how they should interact.. It describe the organization and interaction of software components.. System Architecture. Chapter 12: Multiprocessor Architectures Schaum 2. Chapter 9 Objectives. Learn the properties that often distinguish RISC from CISC architectures.. Understand how multiprocessor architectures are classified.. Appreciate the factors that create complexity in multiprocessor systems.. Understand how multiprocessor architectures are classified.. Appreciate the factors that create complexity in multiprocessor systems.. Become familiar with the ways in which some architectures transcend the traditional von Neumann paradigm.. Ahmed . Sameh. and . Ananth. . Grama. NNSA/PRISM Center,. Purdue University. Path to . Exascale. Hardware Evolution. Key Challenges for Hardware. System Software. Runtime Systems. Programming Interface/ Compilation Techniques. Recall: Microprocessors are classified by how memory is organized. Tightly-coupled multiprocessor systems use the same memory. They are also referred to as . shared memory multiprocessors. .. The processors do not necessarily have to share the same block of physical memory: . 2. Chapter 9 Objectives. Learn the properties that often distinguish RISC from CISC architectures.. Understand how multiprocessor architectures are classified.. Appreciate the factors that create complexity in multiprocessor systems.. Dhabaleswar K. (DK) Panda. The Ohio State University. E-mail: panda@cse.ohio-state.edu. http://www.cse.ohio-state.edu/~panda. Keynote Talk at ISCS (2015). by. High-End Computing (HEC): ExaFlop & ExaByte. SCNN: An Accelerator for Compressed-sparse Convolutional Neural Networks. 9 authors @ NVIDIA, MIT, Berkeley, Stanford. ISCA . 2017. Convolution operation. Reuse. Memory: size vs. access energy. Dataflow decides reuse.

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