Introduction

The IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS) provides a forum for sharing advanced academic and industrial research focused on performance analysis in the design of computer systems and software. ISPASS 2021 will be held on March 28-30, 2021 as a Virtual On-Line Meeting. 

Sponsor Type:1

Committee

General Chair

Michael Ferdman, Stony Brook University

Program Chair

Trevor E. Carlson, National University of Singapore (NUS)

Finance Chair

Samira Khan, University of Virginia (UVa)

Workshops and Tutorials Chair

Tushar Krishna, Georgia Institute of Technology (Georgia Tech)

Local Arrangements Chair

Rezaul Chowdhury, Stony Brook University

Publications Chair

Henry John Duwe, Iowa State University

Web Chair

Andreas Diavastos, Universitat Politècnica de Catalunya (UPC)

Registration Chair

Jian Huang, University of Illinois Urbana-Champaign (UIUC)

Posters Chair

Ravi Soundararajan VMware

Student Travel Chair

Amro Awad, North Carolina State University (NCSU)

Publicity Chair

Angelina Lee, Washington University in St. Louis

Call for paper

Important date

2020-10-23
Abstract submission deadline
2020-10-30
Draft paper submission deadline

Submission Topics

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

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