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Mehdi Pirahandeh
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2020 – today
- 2024
- [j6]Shan Ullah, Mehdi Pirahandeh
, Deok-Hwan Kim
:
Self-attention deep ConvLSTM with sparse-learned channel dependencies for wearable sensor-based human activity recognition. Neurocomputing 571: 127157 (2024) - 2022
- [j5]Mehdi Pirahandeh
, Deok-Hwan Kim
:
MS scheduler: New, scalable, and high-performance sparse AVX-2 parity encoding and decoding technique for erasure-coded cloud storage systems. Future Gener. Comput. Syst. 126: 123-135 (2022)
2010 – 2019
- 2019
- [j4]Mehdi Pirahandeh
, Deok-Hwan Kim:
Energy-aware RAID scheduling methods in distributed storage applications. Clust. Comput. 22(2): 445-454 (2019) - [c5]Khikmatullo Tulkinbekov, Mehdi Pirahandeh
, Deok-Hwan Kim:
CLeveldb: Coalesced Leveldb for Small Data. ICUFN 2019: 567-569 - 2018
- [j3]Tae-Geon Song, Mehdi Pirahandeh
, Cheong-Jin Ahn, Deok-Hwan Kim:
GPU-accelerated high-performance encoding and decoding of hierarchical RAID in virtual machines. J. Supercomput. 74(11): 5865-5888 (2018) - [c4]Mehdi Pirahandeh
, Deok-Hwan Kim:
EGE: A New Energy-Aware GPU Based Erasure Coding Scheduler for Cloud Storage Systems. ICUFN 2018: 619-621 - 2017
- [j2]Mehdi Pirahandeh
, Deok-Hwan Kim:
High performance GPU-based parity computing scheduler in storage applications. Concurr. Comput. Pract. Exp. 29(4) (2017) - [j1]Mehdi Pirahandeh
, Deok-Hwan Kim:
Energy-aware and intelligent storage features for multimedia devices in smart classroom. Multim. Tools Appl. 76(1): 1139-1157 (2017) - 2016
- [c3]Tae-Gun Song, Mehdi Pirahandeh
, Deok-Hwan Kim:
Hierarchical RAID's parity generation using pass-through GPU in multi virtual-machine environment. BigComp 2016: 386-389 - [c2]Mehdi Pirahandeh
, Young-Kuk Kim
, Deok-Hwan Kim:
Delta RAID to Enhance Recovery and Small-Write Performance of RAID Storages. UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld 2016: 1228 - 2014
- [c1]Mehdi Pirahandeh
, Deok-Hwan Kim:
Energy-aware erasure codes using XOR Reference Matrix for SSD based RAID systems. BigComp 2014: 121-122
Coauthor Index
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last updated on 2024-05-08 21:46 CEST by the dblp team
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