Improving software quality in cryptography standardization projects
The NIST post-quantum cryptography (PQC) standardization project is probably the largest
and most ambitious cryptography standardization effort to date, and as such it makes an …
and most ambitious cryptography standardization effort to date, and as such it makes an …
Exploring hardware fault impacts on different real number representations of the structural resilience of tcus in gpus
The most recent generations of graphics processing units (GPUs) boost the execution of
convolutional operations required by machine learning applications by resorting to …
convolutional operations required by machine learning applications by resorting to …
Cryptensor: A resource-shared co-processor to accelerate convolutional neural network and polynomial convolution
Practical deployment of convolutional neural network (CNN) and cryptography algorithm on
constrained devices are challenging due to the huge computation and memory requirement …
constrained devices are challenging due to the huge computation and memory requirement …
Post-quantum cryptography for internet of things: a survey on performance and optimization
T Liu, G Ramachandran, R Jurdak - arXiv preprint arXiv:2401.17538, 2024 - arxiv.org
Due to recent development in quantum computing, the invention of a large quantum
computer is no longer a distant future. Quantum computing severely threatens modern …
computer is no longer a distant future. Quantum computing severely threatens modern …
Analyzing the impact of different real number formats on the structural reliability of tcus in gpus
RL Sierra, JD Guerrero-Balaguera… - 2023 IFIP/IEEE 31st …, 2023 - ieeexplore.ieee.org
1 Modern Graphics Processing Units (GPUs) boost the execution of tiled matrix
multiplications by extensively using in-chip accelerators (Tensor Core Units or TCUs) …
multiplications by extensively using in-chip accelerators (Tensor Core Units or TCUs) …
DPCrypto: Acceleration of post-quantum cryptography using dot-product instructions on GPUs
Modern NVIDIA GPU architectures offer dot-product instructions (DP2A and DP4A), with the
aim of accelerating machine learning and scientific computing applications. These dot …
aim of accelerating machine learning and scientific computing applications. These dot …
High-throughput GPU implementation of Dilithium post-quantum digital signature
Digital signatures are fundamental building blocks in various protocols to provide integrity
and authenticity. The development of the quantum computing has raised concerns about the …
and authenticity. The development of the quantum computing has raised concerns about the …
SIMD2 a generalized matrix instruction set for accelerating tensor computation beyond GEMM
Matrix-multiplication units (MXUs) are now prevalent in every computing platform. The key
attribute that makes MXUs so successful is the semiring structure, which allows tiling for both …
attribute that makes MXUs so successful is the semiring structure, which allows tiling for both …
High Throughput Acceleration of Scabbard Key Exchange and Key Encapsulation Mechanism Using Tensor Core on GPU for IoT Applications
High throughput key encapsulations and decapsulations are needed by Internet of Things
(IoT) applications in order to simultaneously process a multitude of small data in secure …
(IoT) applications in order to simultaneously process a multitude of small data in secure …
High throughput lattice-based signatures on gpus: Comparing falcon and mitaka
The US National Institute of Standards and Technology initiated a standardization process
for post-quantum cryptography in 2017, with the aim of selecting key encapsulation …
for post-quantum cryptography in 2017, with the aim of selecting key encapsulation …