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Anthony Kougkas

Research Assistant Professor

Distributed and Parallel Storage - I/O


I am looking to hire new PhD students.
Please contact me via email

About me at a glance

1

Research interests

High-Performance Storage and Exascale I/O.

2

Currently

Director of I/O research at the SCS Lab @Illinois Tech.

3

Funded by

Leading the NSF-funded Hermes project (NSF OCI-1835764).

4

PhD Dissertation

"Accelerating I/O Using Data Labels: A Contention-aware, Multi-tiered, Scalable, and Distributed I/O Platform", May 2019.


Research at a glance

I/O is now the biggest challenge in modern supercomputers! 
Storage systems are called to efficiently support both compute- and data-intensive workloads.  As we move towards the exascale era, most of these storage systems face significant challenges in performance, scalability, complexity, and limited metadata services, creating an I/O bottleneck that leads to less scientific productivity.
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I/O Integration

Unification of HPC and Data Analytics is essential to address a wide spectrum of major research domains.

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Advanced I/O Buffering

A new memory and storage hierarchy is a reality and modern storage needs to support advanced I/O buffering.

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Label-based I/O Paradigm

A new data representation and runtime to support a wide variety of of confliicting I/O workloads.

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Distributed Log Store

A scalable, parallel, and high-performance solution that can
support a diverse set of log store requirements.

FOLLOW ME!

Address

10 West 31st Street                     
Chicago, IL, 60616

Contact Info

Email:     akougkas@iit.edu                     
Work:     +1 312 567 5023  
Phone:   +1 312 493 9389

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