Who is Afraid of Vectors—Optimizing Cryptography Using SSE, AVX, NEON, and Co.
Most computer architectures, for example, x86, AMD64 and ARMv7 support efficient operations on vectors of data. The computational power of these instructions are most easily exploited if the same long streams of computations are carried out on independent sets of data. This is, for example, the case in many cryptanalytic computations. However, also single cryptographic computations can benefit from the computational power of vector instructions. In my talk I will consider various examples of such cryptographic computations and describe what implementation techniques are required to make best use of the vector instruction sets of various computer architectures.
Speaker Details
Peter Schwabe is an assistant professor at Radboud University Nijmegen in the Netherlands. He graduated from RWTH Aachen University in computer science in 2006 and received a Ph.D. from the Faculty of Mathematics and Computer Science of Eindhoven University of Technology in 2011. Afterwards he worked for two years as a postdoctoral researcher at the Institute for Information Science and the Research Center for Information Technology Innovation of Academia Sinica, Taiwan and at National Taiwan University.
His research area is the optimization of cryptographic and cryptanalytic algorithms in software. The target architectures of this software range from high-end desktop and server CPUs through parallel architectures such as the Cell Broadband Engine and graphics processing units to embedded processors such as ARM and AVR. He has published articles at several international conferences on fast software for a variety of cryptographic primitives including AES, hash functions, elliptic-curve cryptography, and cryptographic pairings. He has also published articles on fast cryptanalysis, in particular attacks on the discrete-logarithm problem.
- Series:
- Microsoft Research Talks
- Date:
- Speakers:
- Peter Schwabe
- Affiliation:
- Radboud University Nijmegen
-
-
Jeff Running
-
Series: Microsoft Research Talks
-
-
-
-
Galea: The Bridge Between Mixed Reality and Neurotechnology
Speakers:- Eva Esteban,
- Conor Russomanno
-
Current and Future Application of BCIs
Speakers:- Christoph Guger
-
Challenges in Evolving a Successful Database Product (SQL Server) to a Cloud Service (SQL Azure)
Speakers:- Hanuma Kodavalla,
- Phil Bernstein
-
Improving text prediction accuracy using neurophysiology
Speakers:- Sophia Mehdizadeh
-
-
DIABLo: a Deep Individual-Agnostic Binaural Localizer
Speakers:- Shoken Kaneko
-
-
Recent Efforts Towards Efficient And Scalable Neural Waveform Coding
Speakers:- Kai Zhen
-
-
Audio-based Toxic Language Detection
Speakers:- Midia Yousefi
-
-
From SqueezeNet to SqueezeBERT: Developing Efficient Deep Neural Networks
Speakers:- Sujeeth Bharadwaj
-
Hope Speech and Help Speech: Surfacing Positivity Amidst Hate
Speakers:- Monojit Choudhury
-
-
-
-
-
'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project
Speakers:- Peter Clark
-
Checkpointing the Un-checkpointable: the Split-Process Approach for MPI and Formal Verification
Speakers:- Gene Cooperman
-
Learning Structured Models for Safe Robot Control
Speakers:- Ashish Kapoor
-
-