March 2nd 2025
In conjunction with the 31st International Symposium on
High-Performance Computer Architecture (HPCA 2025)
Recent papers from Meta (Facebook) and Google 1 2 3 have created a major concern about data integrity in large-scale computing in cloud data centers. The term “mercurial cores” has been coined 2 to refer to errant processor cores that have been clearly diagnosed as being the source of generating silent data errors – and recent panels (as referred to above) have brought together experts from cloud service providers and processor chip designers with the objective of raising awareness of this acute problem, and also encouraging leading edge research to devise affordable chip and system-level mitigation solutions. In addition to such data integrity concerns, the rise of data security and privacy breaches in cloud computing environments has accelerated research and development of practical solutions that enable computing with encrypted data (e.g., advanced cryptographic methods like Fully Homomorphic Computing or FHE); e.g., recent papers 4 5 6 7.
This workshop (DISCC-2025) proposes to bring together aspects of data integrity and security in a single, unified forum. The workshop will comprise of a keynote speech, several contributed papers and, time permitting, a closing panel session involving leading edge experts in data integrity and security in a hyper-scale cloud computing setting. Potential speakers are encouraged to submit an extended abstract (1-2 pages) highlighting the key contributions in the light of the above-stated technical scope of the problem. Solution approaches at the algorithm, software/firmware and/or hardware level are encouraged for early dissemination and discussion in w workshop setting. Papers dealing with testing (or detection, diagnosis) of silent data errors or of malicious data breaches are solicited. Similarly, cost-effective mitigation solutions are invited for presentation.
Topics of interest include but are not limited to:
Submitted manuscripts must be in English of up to 2 pages (with same formatting guidelines as main conference). Submissions should be submitted to the following link by January 10th, 2025. If you have questions regarding submission, please contact us: info@disccworkshop.org
Pradip Bose is a Distinguished Research Scientist and manager of Efficient and Resilient Systems at IBM T. J. Watson Research Center. He has over 40 years of experience at IBM and was a member of the pioneering RISC super scalar project at IBM (a pre-cursor to the first RS/6000 system product). He holds M.S. and Ph.D. degrees from University of Illinois at Urbana-Champaign. He is a member of IBM’s elite Academy of Technology and he is a Fellow of the IEEE.
Jennifer Dworak is a Professor of Electrical and Computer Engineering at Southern Methodist University. She holds M.S. and Ph.D degrees from Texas A&M University. Her research areas of expertise and interest include hardware security and reliability testing of integrated circuits.
Subhasish Mitra is a Professor (Depts. of Electrical Engineering and Computer Science) at Stanford University, where he leads the Robust Systems Group (among several other leadership roles). Among his many achievements, he won the IEEE Computer Society Harry H. Goode Memorial Award "for sustained contributions to design and test of computing systems in established and emerging technologies," in 2022. He is a Fellow of the IEEE and of the ACM.
Chris Wilkerson is a Principal Engineer at Intel Corporation. Chris has 12 years of experience at Intel including 10 years at different Intel research labs, and two in the product micro-architecture team. His areas of expertise include: circuits, processor design, micro-architecture, architecture. In particular, his specialties are: low-voltage circuits, low-voltage micro architecture, low power, reliable design, out-of-order processor design with particular focus on branch prediction, runahead processing, cache design, cache replacement algorithms, etc.
Nandhini Chandramoorthy is a Senior Research Scientist at IBM T. J. Watson Research Center. Her research interests broadly lie in the computer architecture area with focus on energy efficiency, reliability and security. She has published extensively in the area of low-voltage AI processing using joint optimization of hardware and AI algorithms. Recently she’s been working on architectures for Fully Homomorphic Encryption.
Nathan Manohar is a Research Scientist in Cryptography, Security, and Privacy and a member of the Cryptography Research Group at the IBM T. J. Watson Research Center. His main research interests are cryptography, computer security, and, more broadly, theoretical computer science. He is particularly interested in fully homomorphic encryption, secure multi-party computation, and functional encryption. He recently received his Ph.D. in Computer Science from UCLA and joined IBM in 2021.
Nir Drucker is an applied cryptography researcher at IBM Research (Haifa, Israel), the AI security group. He holds a Ph.D. in applied mathematics (cryptography) from the University of Haifa and an M.Sc. degree in operations research from the faculty of Industrial Engineering & Management of the Technion I.I.T. His research interests involve applied cryptography and applied security.
Silvio Dragone is a Senior Technical Staff Member (STSM) and the manager of the "Platform Crypto & Security" research group at the Security department of IBM Research Europe. His focus includes leading the design and architecture of high-assurance systems and cryptographic ASICs, as well as the migration of the IBM platforms to quantum-safe cryptography. His career at IBM Research started in 2002 as a doctoral student and in 2007 he became a Research Staff Member. Silvio holds a Ph.D. degree in Electrical Engineering from the Technical University Munich (TUM), Germany.
DISCC will be held in conjunction with the 31st International Symposium on High-Performance Computer Architecture (HPCA 2025). Refer to the main venue to continue with the registration process.
Westin Las Vegas
Las Vegas (NV), United States