ISPASS 2021 : IEEE International Symposium on Performance Analysis of Systems and Software

in Conferences   Posted on November 16, 2020 

Conference Information

Submission Deadline Friday 23 Oct 2020 Proceedings indexed by :
Conference Dates Mar 28, 2021 - Mar 30, 2021
Conference Address Stony Brook, United States
Conference & Submission Link https://ispass.org/ispass2021/
Conference Organizers : ( Deadline extended ? Click here to edit )

Conference Ranking & Metrics (This is a TOP Conference)

Impact Score 2.48
#Contributing Top Scientists 18
#Papers published by Top Scientists 20
Google Scholar H5-index 20
Guide2Research Overall Ranking: 344
Category Rankings
Software Engineering & Programming 78
Proceedings https://ieeexplore.ieee.org/xpl/conhome/1000547/all-proceedings
DBLP Page https://dblp.uni-trier.de/db/conf/ispass

Conference Call for Papers

Papers are solicited in fields that include the following:

Performance and efficiency (power, area, etc.) evaluation methodologies
Analytical modeling
Statistical approaches
Tracing and profiling tools
Simulation techniques
Hardware (e.g., FPGA) accelerated simulation
Hardware performance counter architectures
Power, temperature, variability and/or reliability models for computer systems
Microbenchmark-based hardware analysis techniques

Foundations of performance and efficiency analysis
Metrics
Bottleneck identification and analysis
Visualization

Efficiency and performance analysis of commercial and experimental hardware
Multi-threaded, multicore and many-core architectures
Accelerators and graphics processing units
Memory systems, including storage-class memory
Embedded and mobile systems
Enterprise systems and data centers
HPC and Supercomputers
Computer networks

Efficiency and performance analysis of emerging workloads and software
Software written in managed languages
Virtualization and consolidation workloads
Datacenter, internet-sector workloads
Embedded, multimedia, games, telepresence
Deep learning and convolutional neural networks

Application and system code tuning and optimization

Confirmations or refutations of important prior results

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