Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Saeed Rashidi"'
Publikováno v:
مسکن و محیط روستا, Vol 40, Iss 173, Pp 75-88 (2021)
Due to the unexpected nature of natural disasters, any mismanagement in dealing with them may lead to more serious crises. However, providing an effective management of disasters and having an immediate control over the situation need the extensive c
Externí odkaz:
https://doaj.org/article/487318fcfc764ec8ba41f74a6e79db9b
Publikováno v:
علوم و تکنولوژی پلیمر, Vol 32, Iss 5, Pp 385-396 (2019)
Hypothesis: Today, the use of modern methods for producing clean and renewable energy such as thermal energy is more requested. One of the most important methods for storing thermal energy is phase change materials (PCMs), which are used as clean and
Externí odkaz:
https://doaj.org/article/97e9c1c669634eea934d45fe1fb5b36c
Autor:
Mersedeh Fatemeh Yazdanbakhsh, Aboo Saeed Rashidi, Mohammad Karim Rahimi, Ramin Khajavi, Hamed Shafaroodi
Publikováno v:
Majallah-i dānishgāh-i ̒ulūm-i pizishkī-i Arāk, Vol 21, Iss 4, Pp 109-122 (2018)
Background and Aim: The purpose of this research is to provide nanofibers from cellulose with Wheat bran as an agricultural residue and its antimicrobial activity by dipping ciprofloxacin hydrochloride on Staphylococcus aureus. Materials and Methods
Externí odkaz:
https://doaj.org/article/7580ef687955439587d5ac7ee47dd105
Publikováno v:
Marine Systems & Ocean Technology. 15:286-298
This article investigates the interaction between a surface gravity wave that propagates over an elastic plate based on linear viscoelastic foundation. The plate is considered to be thin and infinite and is modeled based on the Euler–Bernoulli beam
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66cee07f1a49b8685ecd2ec1d3cf6356
https://doi.org/10.1007/s40868-020-00085-1
https://doi.org/10.1007/s40868-020-00085-1
Themis: A Network Bandwidth-Aware Collective Scheduling Policy for Distributed Training of DL Models
Distributed training is a solution to reduce DNN training time by splitting the task across multiple NPUs (e.g., GPU/TPU). However, distributed training adds communication overhead between the NPUs in order to synchronize the gradients and/or activat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b8337d535ae012febc072aa31c1a4d8
http://arxiv.org/abs/2110.04478
http://arxiv.org/abs/2110.04478
Publikováno v:
ACM Computing Surveys. 52:1-38
Phase Change Memory (PCM) is an emerging memory technology that has the capability to address the growing demand for memory capacity and bridge the gap between the main memory and the secondary storage. As a resistive memory, PCM is able to store dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::83e2c6e8676bb021ada7b0455f4c2848
https://doi.org/10.1145/3332257
https://doi.org/10.1145/3332257
Publikováno v:
ISPASS
Modern Deep Learning systems heavily rely on distributed training over high-performance accelerator (e.g., TPU, GPU)-based hardware platforms. Examples today include Google's Cloud TPU and Facebook's Zion. DNN training involves a complex interplay be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be99333522b16882ad05d80020fb2972
https://doi.org/10.1109/ispass48437.2020.00018
https://doi.org/10.1109/ispass48437.2020.00018
Autor:
Dheevatsa Mudigere, Tushar Krishna, Srinivas Sridharan, Pallavi Shurpali, Krishnakumar Nair, Misha Smelyanski, Saeed Rashidi, Naader Hassani
Publikováno v:
Hot Interconnects
Recommendation model DNNs have gained significant attention due to their vital role in recommending the best content to the user. However, in order to further increase accuracy, DNNs are becoming more complex with more data to be trained, making them
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c055301c9ebf9e6f03568e79ef1f8015
https://doi.org/10.1109/hoti51249.2020.00020
https://doi.org/10.1109/hoti51249.2020.00020
Autor:
Amoghavarsha Suresh, Srinivas Sridharan, Tushar Krishna, Jade Nie, Matthew Denton, Saeed Rashidi, Sudarshan Srinivasan
Publikováno v:
ISCA
Deep Learning (DL) training platforms are built by interconnecting multiple DL accelerators (e.g., GPU/TPU) via fast, customized interconnects with 100s of gigabytes (GBs) of bandwidth. However, as we identify in this work, driving this bandwidth is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b67750c36b56e694af41b9989a7e4859
Publikováno v:
ACM Transactions on Architecture and Code Optimization. 15:1-31
Phase Change Memory (PCM) is one of the most promising candidates to be used at the main memory level of the memory hierarchy due to poor scalability, considerable leakage power, and high cost/bit of DRAM. PCM is a new resistive memory that is capabl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f2e725e2f2ef266f4e64dfd27c1f1c1
https://doi.org/10.1145/3177965
https://doi.org/10.1145/3177965