This volume contains the proceedings of the 13th ACM International Systems and Storage Conference (SYSTOR 2020). Like many other conferences this year, SYSTOR 2020 was impacted significantly by the COVID-19 pandemic. The submission deadline was scheduled for the beginning of March 2020, just as the virus started spreading worldwide, travel restrictions were put in place and international conferences started being postponed or canceled. It is likely that the resulting uncertainty led to a significant drop in submission numbers for SYSTOR this year, with a total of 30 submitted papers (down 33% over the previous year). Among these submissions, 9 quality papers were accepted for the conference (all full-length submissions). Each submitted paper received four detailed reviews by program committee members, followed by an extensive online discussion.
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Memory Elasticity Benchmark
Cloud computing handles a vast share of the world's computing, but it is not as efficient as it could be due to its lack of support for memory elasticity. An environment that supports memory elasticity can dynamically change the size of the application'...
Scaling Shared Memory Multiprocessing Applications in Non-cache-coherent Domains
Due to the slowdown of Moore's Law, systems designers have begun integrating non-cache-coherent heterogeneous computing elements in order to continue scaling performance. Programming such systems has traditionally been difficult - developers were forced ...
Automatic Core Specialization for AVX-512 Applications
Advanced Vector Extension (AVX) instructions operate on wide SIMD vectors. Due to the resulting high power consumption, recent Intel processors reduce their frequency when executing complex AVX2 and AVX-512 instructions. Following non-AVX code is slowed ...
BioSEAL: In-Memory Biological Sequence Alignment Accelerator for Large-Scale Genomic Data
Genome sequences contain hundreds of millions of DNA base pairs. Finding the degree of similarity between two genomes requires executing a compute-intensive dynamic programming algorithm, such as Smith-Waterman. Traditional von Neumann architectures ...
MARDU: Efficient and Scalable Code Re-randomization
Defense techniques such as Data Execution Prevention (DEP) and Address Space Layout Randomization (ASLR) were role models in preventing early return-oriented programming (ROP) attacks by keeping performance and scalability in the forefront, making them ...
Re-Animator: Versatile High-Fidelity Storage-System Tracing and Replaying
Modern applications use storage systems in complex and often surprising ways. Tracing system calls is a common approach to understanding applications' behavior, allowing offline analysis and enabling replay in other environments. But current system-call ...
Supporting Transactions for Bulk NFSv4 Compounds
More applications nowadays use network and cloud storage; and modern network file system protocols support compounding operations---packing more operations in one request (e.g., NFSv4, SMB). This is known to improve overall throughput and latency by ...
NVMFS-IOzone: Performance Evaluation for the New NVMM-based File Systems
With the emerging of NVM (Non-Volatile Memories) technologies, NVMM-based (Non-Volatile Main Memories) file systems have attracted more and more attention. Compared to traditional file systems, most NVMM-based file systems bypass the page cache and the ...
Polymorphic Compressed Replication of Columnar Data in Scale-Up Hybrid Memory Systems
In-memory database systems adopting a columnar storage model play a crucial role with respect to data analytics. While data is completely kept in-memory by these systems for efficiency, data has to be stored on a non-volatile medium for persistence and ...
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- Proceedings of the 13th ACM International Systems and Storage Conference
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Acceptance Rates
Year | Submitted | Accepted | Rate |
---|---|---|---|
SYSTOR '24 | 38 | 14 | 37% |
SYSTOR '23 | 30 | 12 | 40% |
SYSTOR '22 | 41 | 12 | 29% |
SYSTOR '21 | 63 | 18 | 29% |
SYSTOR '16 | 49 | 16 | 33% |
SYSTOR '13 | 49 | 20 | 41% |
SYSTOR '11 | 53 | 16 | 30% |
Overall | 323 | 108 | 33% |