resurchify Conferences Journals Workshops Seminars
      
SYMPOSIUMS MEETINGS CONFERENCE RANKING JOURNAL RANKING IMPACT FACTOR BLOGS



PEASH 2020 : 7th Workshop on Performance Engineering with Advances in Software and Hardware for Big Data Sciences

Virtual
Event Date: Dec 10, 2020 - Dec 13, 2020
Submission Deadline: Oct 25, 2020
Notification of Acceptance: Nov 01, 2020
Camera Ready Version Due : Nov 25, 2020

About

Following the success of the PEASH (formerly ASH) workshop series co-located with IEEE Big data conference in the past six years, we are looking forward to organizing the 7th PEASH workshop in 2020. The PEASH workshop has positioned itself as a unique forum for bringing the latest technology development in hardware and software to enable big data science. The topics of the workshop are centered on the accessibility and applicability of the latest hardware and software to practical domain problems and education settings. The workshop will discuss issues in facilitating data-driven discovery with the latest software and hardware technologies for domain researchers, such as performance evaluation, optimization, accessibility, usability, application, and education of new technologies. The presentations and discussions at the workshop will speed and promote the adoption of latest software and hardware technologies for domain researchers working on big data science. Data-intensive science has become the fourth paradigm in science and has brought a profound transformation of scientific research. Indeed, data-driven discovery has already happened in various research fields, such as earth sciences, medical sciences, biology, and physics, to name a few. In brief, a vast volume of scientific data captured by new instruments has been becoming publically accessible for the purposes of continued and deeper data analysis. Big Data analytics result in the development of many new theories and discoveries but also require substantial computational resources in the process. However, the mainstream of many domain sciences still mostly relies on traditional experimental paradigms. It is a crucial issue to make the latest technology advancements in software and hardware accessible and usable to the domain scientists. Fueled by the big data analytics needs, new computing and storage technologies are also in rapid development and pushing for new high-end hardware geared for solving big data problems. These new hardware advances bring new opportunities for performance improvement but also new challenges. The overall performance bottleneck of a problem can be shifted, requiring different workload balancing strategy due to the significant performance boost of a particular hardware. While those technologies have the potential to greatly improve the capabilities in big data analytics and make significant contributions to data-driven science, it is even more important to make those technologies understood and accessible by data scientists early. In the recent years, analysis algorithms and software for machine learning have boomed. Deep neural network based methods begin to make buzz in nearly every domain fields. There are a dozen open source deep learning frameworks developed in last year alone. Comprehensive open source analytic software environments and platforms are also evolving with these new developments for data science. Therefore, how to efficiently utilize these latest technologies to solve big data problems in scientific domains and how to facilitate continuing innovations in computer science with these latest technologies are two central focuses of this workshop. We anticipate workshop participation from computer scientists, domain users, service providers, educators, and technology practitioners in industry. We intend to invite cyber-infrastructure specialists to share their experiences with the latest hardware and software advancements, data scientists to share their experiences and perspectives in using those technologies for data-driven discovery, and educators to share their stories in educating big data theories, computing foundations, and essential tools and resources.

Call For Paper

We solicit high-quality original research papers (and significant work-in-progress papers) in any aspect of Big Data with emphasis on performance engineering, including the performance engineering for challenges in scientific and engineering, social, sensor/IoT/IoE, and multimedia (audio, video, image, etc.) big data systems and applications. The workshop adopts single-blind review policy. Accepted and presented paper at PEASH'20 will be be published in the proceedings of IEEE BigData'20. We expect to have a very high quality and exciting technical program at Atlanta this year.

Hotel Deals

Booking.com

Check Other Conferences, Workshops, and Seminars

OTHER BIG DATA EVENTS

SCSN 2021 : The 9th IEEE International Workshop on Semantic Computing for Social Networks and Organization Sciences
Virtual
Jan 27, 2021
ICWE 2021 : International Conference on Web Engineering
Biarritz, France
May 18, 2021
ABCSS 2020 : The 5th International Workshop on Application of Big Data for Computational Social Science
Virtual
Dec 14, 2020
AIED 2021 : Artificial Intelligence in Education
Netherlands
Jun 14, 2021
ICCWS 2021 : 16th International Conference on Cyber Warfare and Security
Tennessee Tech, USA
Feb 25, 2021

OTHER DATA VISUALIZATION EVENTS

SS-MSPC 2020 : Special Session on Multimodal Signal Processing and Classification
Milan
Jul 07, 2020
KITA 2019 : Knowledge IT Artifacts (KITA) in professional communities and aggregations (KITA 2019)
Rome, Italy
Oct 28, 2019
ACM SAC DBDM Track 2020 : Special Track on Databases and Big Data Management (DBDM) - The 35th ACM SYMPOSIUM ON APPLIED COMPUTING (SAC 2020)
Prague, Czech Republic
Mar 30, 2020
SciTS 2019 : 11th Science of Team Science (SciTS) Conference
Michigan
May 20, 2019
DataViz&Science@ILRN 2019 : Special Track on Data Visualization and Engaging Science @ ILRN 2019
London, UK
Jun 24, 2019

OTHER HIGH PERFORMANCE COMPUTING EVENTS

HPCS 2020 : The 2020 International Conference on High Performance Computing & Simulation
Barcelona
Oct 26, 2020
H2RC 2020 : Sixth International Workshop on Heterogeneous High-performance Reconfigurable Computing
Atlanta, Georgia, USA
Nov 15, 2020
ROSS 2020 : International Workshop on Runtime and Operating Systems for Supercomputers
Atlanta, Georgia, USA
Nov 16, 2020
BICAS 2020 : The 3rd Special Session on Biologically Inspired Parallel and Distributed Computing, Algorithms and Solutions
Barcelona, Spain
Oct 26, 2020
VIRT 2020 : The 3rd Special Session on Virtualization in Machine Learning, High Performance Computing and Simulation
Barcelona, Spain
Oct 26, 2020

OTHER DATA SCIENCE EVENTS

ICCSE 2021 : The 16th International Conference on Computer Science and Education
Lancaster
Aug 17, 2021
CLSB 2020 : International Conference on Cloud Computing, Security and Blockchain
Sydney, Australia
Oct 24, 2020
IEEE ICCE 2021 : International Conference on Consumer Electronics
Virtual
Jan 10, 2021
SCDM 2020 : Scalable Cloud Data Management Workshop
Remote (orig. Atlanta, USA)
Dec 10, 2020
IEEE DSLW 2021 : IEEE Data Science and Learning Workshop
Toronto, Canada
Jun 05, 2021