Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Janki Bhimani"'
Thermal Aware System-Wide Reliability Optimization for Automotive Distributed Computing Applications
Publikováno v:
IEEE Transactions on Vehicular Technology. 71:10442-10457
Autor:
Janki Bhimani, Zhengyu Yang, Jingpei Yang, Adnan Maruf, Ningfang Mi, Rajinikanth Pandurangan, Changho Choi, Vijay Balakrishnan
Publikováno v:
ACM Transactions on Storage. 18:1-29
The demand for high performance I/O in Storage-as-a-Service (SaaS) is increasing day by day. To address this demand, NAND Flash-based Solid-state Drives (SSDs) are commonly used in data centers as cache- or top-tiers in the storage rack ascribe to th
Publikováno v:
IEEE Transactions on Computers. 71:309-322
In the era of big data processing, more and more data centers in cloud storage are now replacing traditional HDDs with enterprise SSDs. Both developers and users of these SSDs require thorough benchmarking to evaluate and configure the variable param
Publikováno v:
Proceedings of the 14th ACM Workshop on Hot Topics in Storage and File Systems.
Publikováno v:
2022 IEEE International Symposium on High-Performance Computer Architecture (HPCA).
Publikováno v:
2022 Design, Automation & Test in Europe Conference & Exhibition (DATE).
Publikováno v:
DAC
An increasing concern that curbs the widespread adoption of KV-SSD is whether or not offloading host-side operations to the storage device changes device behavior, negatively affecting various applications’ overall performance. In this paper, we sy
Autor:
Janki Bhimani, Bridget Davis, Zhengyu Yang, Adnan Maruf, Matthew Durand, Daniel Kim, Jeffrey Wong
Publikováno v:
CLOUD
Computer games are an extremely popular but overlooked workload. Cloud-gaming has been one of the biggest buzzwords in the gaming industry throughout 2020. The rapid growth of the video gaming industry and the diverse set of popular video games avail
Publikováno v:
ACM Transactions on Modeling and Computer Simulation. 29:1-24
Predicting the performance of an application running on parallel computing platforms is increasingly becoming important because of its influence on development time and resource management. However, predicting the performance with respect to parallel
Publikováno v:
SYSTOR
The development of KV-SSDs allows simplifying the I/O stack compared to the traditional block-based SSDs. We propose a novel Key-Value-based Storage infrastructure for Parallel Computing(KV-SiPC)-a framework for multi-thread OpenMP applications to us