Amirsaman Memaripour
Amirsaman Memaripour


  Affiliation history
Bibliometrics: publication history
Average citations per article12.50
Citation Count75
Publication count6
Publication years2013-2019
Available for download5
Average downloads per article1,118.00
Downloads (cumulative)5,590
Downloads (12 Months)2,276
Downloads (6 Weeks)183
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1 published by ACM
April 2019 ASPLOS '19: Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems
Publisher: ACM
Citation Count: 0
Downloads (6 Weeks): 38,   Downloads (12 Months): 361,   Downloads (Overall): 361

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Emerging fast, non-volatile memories will enable systems with large amounts of non-volatile main memory (NVMM) attached to the CPU memory bus, bringing the possibility of dramatic performance gains for IO-intensive applications. This paper analyzes the impact of state-of-the-art NVMM storage systems on some of these applications and explores how those ...
Keywords: DAX, direct access, file systems, non-volatile memory, persistent memory, scalability

2 published by ACM
August 2018 SIGCOMM '18: Proceedings of the 2018 Conference of the ACM Special Interest Group on Data Communication
Publisher: ACM
Citation Count: 5
Downloads (6 Weeks): 45,   Downloads (12 Months): 794,   Downloads (Overall): 1,176

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Storage systems in data centers are an important component of large-scale online services. They typically perform replicated transactional operations for high data availability and integrity. Today, however, such operations suffer from high tail latency even with recent kernel bypass and storage optimizations, and thus affect the predictability of end-to-end performance ...
Keywords: NIC-offloading, RDMA, distributed storage systems, replicated transactions

3 published by ACM
October 2017 SOSP '17: Proceedings of the 26th Symposium on Operating Systems Principles
Publisher: ACM
Citation Count: 13
Downloads (6 Weeks): 70,   Downloads (12 Months): 790,   Downloads (Overall): 2,051

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Emerging fast, persistent memories will enable systems that combine conventional DRAM with large amounts of non-volatile main memory (NVMM) and provide huge increases in storage performance. Fully realizing this potential requires fundamental changes in how system software manages, protects, and provides access to data that resides in NVMM. We address ...
Keywords: DAX, Direct Access, File Systems, Non-volatile Memory, Persistent Memory, Reliability

4 published by ACM
April 2017 EuroSys '17: Proceedings of the Twelfth European Conference on Computer Systems
Publisher: ACM
Citation Count: 16
Downloads (6 Weeks): 5,   Downloads (12 Months): 83,   Downloads (Overall): 490

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Data structures for non-volatile memories have to be designed such that they can be atomically modified using transactions. Existing atomicity methods require data to be copied in the critical path which significantly increases the latency of transactions. These overheads are further amplified for transactions on byte-addressable persistent memories where often ...

5 published by ACM
March 2015 ASPLOS '15: Proceedings of the Twentieth International Conference on Architectural Support for Programming Languages and Operating Systems
Publisher: ACM
Citation Count: 41
Downloads (6 Weeks): 25,   Downloads (12 Months): 248,   Downloads (Overall): 1,512

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Next-generation non-volatile memories (NVMs) promise DRAM-like performance, persistence, and high density. They can attach directly to processors to form non-volatile main memory (NVMM) and offer the opportunity to build very low-latency storage systems. These high-performance storage systems would be especially useful in large-scale data center environments where reliability and availability ...
Keywords: availability, data center, distributed storage systems, keywords non-volatile memory, reliability, storage-class memory
Also published in:
May 2015  ACM SIGPLAN Notices - ASPLOS '15: Volume 50 Issue 4, April 2015 May 2015  ACM SIGARCH Computer Architecture News - ASPLOS'15: Volume 43 Issue 1, March 2015

September 2013 SOCIALCOM '13: Proceedings of the 2013 International Conference on Social Computing
Publisher: IEEE Computer Society
Citation Count: 0

Extraordinary large datasets of high performance computing applications require improvement in existing storage and retrieval mechanisms. Moreover, enlargement of the gap between data processing and I/O operations' throughput will bound the system performance to storage and retrieval operations and remarkably reduce the overall performance of high performance computing clusters. File ...
Keywords: File Systems, File Replication, Adaptive Storage, Dynamic Replication

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