Venue of Bench'19

2020 BenchCouncil International Symposium on Benchmarking, Measuring and Optimizing (Bench'20)

Atlanta, Georgia, USA
Nov 14-16, 2019

Call for Papers

Overview

Benchmarking, measuring, and optimizing are fundamental activities in human being's lives. This symposium (Bench'20) is organized by the International Open Benchmark Council (BenchCouncil), and the main theme is benchmarking, measuring, and optimizing.

Bench'20 provides a high-quality, single-track forum for presenting results and discussing ideas that further the knowledge and understanding of the benchmark community as a whole.

Since its founding, BenchCouncil has two fundamental responsibilities. On one hand, it encourages data-driven, intelligence-inspired, and benchmark-based quantitative approaches to tackle multi-disciplinary challenges. On the other hand, BenchCouncil incubates benchmark projects and hosts the BenchCouncil benchmark projects, and further encourages reliable and reproducible research using the BenchCouncil benchmark projects or incubator benchmark projects. To that end, we present the BenchCouncil Award for Excellence for Reproducible Research to the papers related with those projects (each paper $100 prize, maximally up to 20 papers). Regularly, Bench’20 will present the BenchCouncil Achievement Award, the BenchCouncil Rising Star Award, and the BenchCouncil Best Paper Award. We welcome the industry leaders as sponsors to provide the testbed and the honorariums for the above awards.

In addition, we will invite influential speakers from around the world.

Topics

Specific topics of interest include, but are not limited to, the following.

  • Synthetics or Real-world Data Sets of:

  • Benchmark, measurement, and optimization of:

  • Benchmark specifications and open-source implementation reports of:

  • Methodologies, abstractions, metrics, algorithms, and tools in benchmark, measurement, and optimization for:

  • Benchmark-driven domain-specific co-design of:

  • Testbed methodologies and systems of:

  • Workload characterization of:

    • Big Data
    • AI
    • HPC
    • Machine learning in HPC
    • Big scientific data
    • DataCenter
    • Cloud
    • Warehouse-scale computing
    • Mobile robotics
    • Edge and fog computing
    • IoT
    • Chain block
    • Data management and storage
    • Medicine, Finance and Education