PPT-Object Placement for High Bandwidth Memory Augmented with High Capacity Memory

Author : tabitha | Published Date : 2024-07-04

Mohammad Laghari and Didem Unat 1 SBACPAD 2017 Campinas Brazil 1720 October 2017 httpsparcorelabkuedutr Image taken from httpwwwamdcomentechnologieshbm Introduction

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Object Placement for High Bandwidth Memory Augmented with High Capacity Memory: Transcript


Mohammad Laghari and Didem Unat 1 SBACPAD 2017 Campinas Brazil 1720 October 2017 httpsparcorelabkuedutr Image taken from httpwwwamdcomentechnologieshbm Introduction To overcome memory bandwidth limitations multiple memories with different characteristics are introduced. Avg Access Time 2 Tokens Number of Controllers Average Access Time clock cyles brPage 16br Number of Tokens vs Avg Access Time 9 Controllers Number of Tokens Average Access Time clock cycles brPage 17br brPage 18br Atkinson-Shiffrin Model. Sensory Signals. Sensory Memory. Short-Term Memory. Long-Term Memory. ATTENTION. REHEARSAL. RETRIEVAL. Sensory Memory. Supplementary reading:. Cognition (on reserve). . Averbach. About . High-Performance . Computing. Massive . Concurrency. The largest supercomputers today have one or two petaflop/s peak performance with order 100,000 or more processor cores. The number of processor cores is two orders of magnitude higher compared to a decade ago, and will likely increase much faster in the coming decade, since the clock frequency of processors will stagnate or even decrease in order to limit power consumption. It is anticipated that exaflop/s computers a decade from now will have billions of threads.. The processing, storage and retrieval of information acquired through learning.. MEMORY. ATKINSON-SHIFFRIN MULTI-STORE MODEL. ATKINSON-SHIFFRIN. Permanent. , built-in fixed features that do not vary. Abhinav . Podili. , Chi Zhang, Viktor . Prasanna. Ming Hsieh Department of Electrical Engineering. University of Southern California. {. podili. , zhan527, . prasanna. }@usc.edu. fpga.usc.edu. ASAP, July 2017. High-Bandwidth, Energy-efficient DRAM Architectures for GPU systems. GPUs Demand High DRAM Bandwidth. GPUs Demand High DRAM Bandwidth. 2008: NVIDIA Tesla GT200. 512-bits @ 2.2 . Gbps. GPUs Demand High DRAM Bandwidth. mind. Henry Shevlin. CUNY Graduate Center. Society for . Philosophy and . Psychology. 41st . Annual Meeting, June 2015. A missing part of the mind?. In this short talk, I’ll suggest that a form of memory has been overlooked in discussions about perception.. Sep 17, 2017. COMPUTER ARCHITECTURE . CS 6354. Main Memory. The content and concept of this course are adapted from CMU ECE 740. AGENDA. Logistics. Review . from last . lecture. Main Memory. 2. LOGISTICS. Database Accelerators. Authors: Jian Fang. 1. , Yvo T.B. Mulder. 1. ,. Kangli Huang. 1. , Yang Qiao. 1. ,. Xianwei Zeng. 1. ,. . Jan . Hidders. 2. ,. Jinho Lee. The Confirmation Class of 2012. Is the graduating. class of 2017. Virginia (Ginny) Wilson . High School. : . Plano Senior . High. Plans. : . Texas State University . Major. : . Interdisciplinary Studies . Hoda NaghibiJouybari Khaled N. Khasawneh and Nael Abu- Ghazaleh Constructing and Characterizing Covert Channels on GPGPUs Covert Channel Malicious indirect communication of sensitive data. CACTI-IO: CACTI With Off-Chip Power-Area-Timing Models Norman P. Jouppi ¥ , Andrew B. Kahng †‡ , Naveen Muralimanohar ¥ , Vaishnav Srinivas † November 6 th , 2012 ECE † and CSE ‡ Departments Overview of significant updates to the IBTA Specification 1.5. Specification update overview. Volume 1, Release 1.5, published August 6, 2021. The specification defines InfiniBand and RoCE. Available to IBTA Members. via High-Level Synthesis on FPGAs. Luciano Lavagno. l. uciano.lavagno@polito.it. Objectives and approach. Electronics. Group. 2. Provide HW efficiency with SW-like non-recurrent engineering cost. Exploit recent advances of High-Level Synthesis to...

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