Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Zamshed I. Chowdhury"'
Autor:
Masoud Zabihi, Salonik Resch, Husrev Cilasun, Zamshed I. Chowdhury, Zhengyang Zhao, Ulya R. Karpuzcu, Jian-Ping Wang, Sachin S. Sapatnekar
Publikováno v:
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, Vol 7, Iss 2, Pp 88-96 (2021)
This article describes how 3-D XPoint memory arrays can be used as in-memory computing accelerators. We first show that thresholded matrix-vector multiplication (TMVM), the fundamental computational kernel in many applications including machine learn
Externí odkaz:
https://doaj.org/article/a08cdbd1ba8b4828bc75a8c2b2273af0
Autor:
Zamshed I. Chowdhury, Masoud Zabihi, S. Karen Khatamifard, Zhengyang Zhao, Salonik Resch, Meisam Razaviyayn, Jian-Ping Wang, Sachin S. Sapatnekar, Ulya R. Karpuzcu
Publikováno v:
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, Vol 6, Iss 1, Pp 80-88 (2020)
Recent years have witnessed an increasing interest in the processing-in-memory (PIM) paradigm in computing due to its promise to improve the performance through the reduction of energy-hungry and long-latency memory accesses. Joined with the explosio
Externí odkaz:
https://doaj.org/article/9b134bc2ab1640be8970a3a8e791a15d
Autor:
Zamshed I. Chowdhury, S. Karen Khatamifard, Zhengyang Zhao, Masoud Zabihi, Salonik Resch, Meisam Razaviyayn, Jian-Ping Wang, Sachin Sapatnekar, Ulya R. Karpuzcu
Publikováno v:
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, Vol 5, Iss 2, Pp 206-214 (2019)
Traditional Von Neumann computing is falling apart in the era of exploding data volumes as the overhead of data transfer becomes forbidding. Instead, it is more energy-efficient to fuse compute capability with memory where the data reside. This is pa
Externí odkaz:
https://doaj.org/article/4d1354166ddf42b88fd2dbf06a8530c3
Autor:
Zamshed I. Chowdhury, S. Karen Khatamifard, Salonik Resch, Husrev Cilasun, Zhengyang Zhao, Masoud Zabihi, Meisam Razaviyayn, Jian-Ping Wang, Sachin S. Sapatnekar, Ulya R. Karpuzcu
Publikováno v:
IEEE Transactions on Emerging Topics in Computing. 10:2055-2071
Autor:
Salonik Resch, S. Karen Khatamifard, Zamshed I. Chowdhury, Masoud Zabihi, Zhengyang Zhao, Husrev Cilasun, Jian-Ping Wang, Sachin S. Sapatnekar, Ulya R. Karpuzcu
Publikováno v:
ACM Transactions on Embedded Computing Systems. 21:1-36
Beyond-edge devices can operate outside the reach of the power grid and without batteries. Such devices can be deployed in large numbers in regions that are difficult to access. Using machine learning, these devices can solve complex problems and rel
Autor:
Zamshed I. Chowdhury, Jian-Ping Wang, Ulya R. Karpuzcu, Husrev Cilasun, Zhengyang Zhao, Thomas Peterson, Keshab K. Parhi, Erin Olson, Salonik Resch, Masoud Zabihi, Sachin S. Sapatnekar
Publikováno v:
ACM Transactions on Architecture and Code Optimization. 18:1-21
Spiking Neural Networks (SNNs) represent a biologically inspired computation model capable of emulating neural computation in human brain and brain-like structures. The main promise is very low energy consumption. Classic Von Neumann architecture bas
Autor:
R. Iris Bahar, Tali Moreshet, S. Karen Khatamifard, Ulya R. Karpuzcu, Zamshed I. Chowdhury, Zhaoyong Zheng
Publikováno v:
IEEE Computer Architecture Letters. 19:155-158
Barrier synchronization constructs are placed between phases of parallel programs to ensure correctness in the execution – by preventing threads from proceeding to the subsequent phases of the program before all threads have completed the preceding
Autor:
Sachin S. Sapatnekar, Ulya R. Karpuzcu, Zhengyang Zhao, Salonik Resch, Jian-Ping Wang, S. Karen Khatamifard, Masoud Zabihi, Zamshed I. Chowdhury, Meisam Razaviyayn
Publikováno v:
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, Vol 6, Iss 1, Pp 80-88 (2020)
Recent years have witnessed an increasing interest in the processing-in-memory (PIM) paradigm in computing due to its promise to improve the performance through the reduction of energy-hungry and long-latency memory accesses. Joined with the explosio
Autor:
Zamshed I. Chowdhury, Masoud Zabihi, Zhengyang Zhao, Salonik Resch, Arvind Sharma, Sachin S. Sapatnekar, Meghna G. Mankalale, Jian-Ping Wang, Ulya R. Karpuzcu
Publikováno v:
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, Vol 6, Iss 1, Pp 71-79 (2020)
This article presents a method for analyzing the parasitic effects of interconnects on the performance of the STT-MTJ-based computational random access memory (CRAM) in-memory computation platform. The CRAM is a platform that makes a small reconfigur
Autor:
Ulya R. Karpuzcu, Sachin S. Sapatnekar, Zamshed I. Chowdhury, Masoud Zabihi, S. Karen Khatamifard, Meisam Razaviyayn, Jian-Ping Wang, Zhengyang Zhao, Salonik Resch
Publikováno v:
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, Vol 5, Iss 2, Pp 206-214 (2019)
Traditional Von Neumann computing is falling apart in the era of exploding data volumes as the overhead of data transfer becomes forbidding. Instead, it is more energy-efficient to fuse compute capability with memory where the data reside. This is pa