HLS-based acceleration of the BIKE post-quantum KEM on embedded-class heterogeneous SoCs

An effective transition to post-quantum cryptography mandates its deployment on embedded-class devices, guaranteeing adequate performance while satisfying their strict area constraints. This work accelerates BIKE, a QC-MDPC code-based post-quantum KEM, through HLS on embedded-class heterogeneous SoCs that couple a CPU with FPGA programmable logic. The proposed methodology implements HLS-generated accelerators to compute the most time-consuming operations of BIKE, identified by analyzing the software-only execution. The mix of accelerators instantiated in hardware and operations executed in software, as well as the configurable architectural parameters of the former, are then determined, depending on the resources available on the target SoC, to minimize BIKE’s execution time. Experiments on AMD Zynq-7000 SoCs highlight a speedup of up to 3.34 times compared to the reference software execution and up to 1.98 times over state-of-the-art HW/SW implementations targeting the same chips

Classification Trees for Ordinal Responses in R: The rpartScore Package

This paper introduces rpartScore (Galimberti, Soffritti, and Di Maso 2012), a new R package for building classification trees for ordinal responses, that can be employed whenever a set of scores is assigned to the ordered categories of the response. This package has been created to overcome some problems that produced unexpected results from the package rpartOrdinal (Archer 2010). Explanations for the causes of these unexpected results are provided. The main functionalities of rpartScore are described, and its use is illustrated through some examples

An Evaluation of the State-of-the-Art Software and Hardware Implementations of BIKE

NIST is conducting a process for the standardization of post-quantum cryptosystems, i.e., cryptosystems that are resistant to attacks by both traditional and quantum computers and that can thus substitute the traditional public-key cryptography solutions which are expected to be broken by quantum computers in the next decades. This manuscript provides an overview and a comparison of the existing state-of-the-art implementations of the BIKE QC-MDPC code-based post-quantum KEM, a candidate in NIST's PQC standardization process. We consider both software, hardware, and mixed hardware-software implementations and evaluate their performance and, for hardware ones, their resource utilization.Comment: Accepted for presentation at PARMA-DITAM 2023: 14th Workshop on Parallel Programming and Run-Time Management Techniques for Many-core Architectures / 12th Workshop on Design Tools and Architectures for Multicore Embedded Computing Platforms, January 17, 202

Erratum to: pegylated liposomal doxorubicin in combination with dexamethasone and bortezomib (VMD) or lenalidomide (RMD) in multiple myeloma pretreated patients

n/

Flexible and Autonomous Multi-band Raman Amplifiers

We propose an embedded controller able to autonomously manage Raman amplification in software-defined optical networks. The conceived structure allows the system to work both in single and multi-band transmission, achieving a large range of amplification constraints. A set of experiments validates this proposal

Autonomous Raman Amplifiers in Software-Defined Optical Transport Networks

Within a context of software-defined optical transport networks (SD-OTN), this work addresses specifically the management of Raman amplification, aiming to introduce and experimentally validate a system able to autonomously control this feature in-situ. In particular, given the required amplification constraints, an ad-hoc software module has been developed in order to optimize Raman pump power levels. Then, relying on this software, the architecture of an embedded controller to install on board the Raman card has been defined to handle Raman pumps. The use of a conceived probing procedure allows to self-adapt each Raman amplifier to the installed fiber, allowing it to autonomously operate at the working point required by the control plane. Relying on the system telemetry, the proposed architecture controls the Raman pumps in order to achieve the required amplification constraints in terms of average gain and tilt. The entire proposal is validated through a set of experimental measurements that proofs both the achievement of the required gain target and the importance of the probing phase procedure in making the Raman amplifier autonomous and self-adaptable

PRDI-BF1 and PRDI-BF1P isoform expressions correlate with disease status in multiple myeloma patients

Human positive regulatory domain I binding factor 1 (PRDI-BF1 or BLIMP-1) is a transcription factor that acts as a master regulator and has crucial roles in the control of differentiation and in maintaining survival of plasma cells (PC). The PRDM1 gene, which codifies for PRDI-BF1, contains an alternative promoter capable of generating a PRDI-BF1 deleted protein (called PRDI-BF1β), which lacks 101 amino acids comprising most of the regulatory domain. PRDI-BF1β has been detected in relevant quantities especially in multiple myeloma cell lines (U266 and NCI- H929). The first aim of the study was to compare, using real time polymerase chain reaction (RT-PCR), the levels of PRDI-BF1 and PRDI-BF1β in myeloma patients and in normal human bone marrow. The second step was the examination of the expression of PRDI-BF1 and PRDI-BF1β isoform depending on disease status and treatment response. We demonstrate the correlation of PRDI-BF1 and the shorter PRDI-BF1β isoform protein levels with the clinical evolution and the management of myeloma patients

Local vs. Global Optimization for Optical Line System Control in Disaggregated Networks

Setting the operating point of optical amplifiers of optical line systems (OLS)s within transparent, disaggregated and reconfigurable networks is a crucial task that determines the optical transmission performance of the specific infrastructure. In this work, four optimization strategies for OLS control are compared through a simulation campaign, where a realistic physical layer is replicated using a machine-learning model derived from an experimental dataset on commercial devices for the Erbium-doped fiber amplifiers (EDFA)s and a characterized set of fiber spans. In particular, two distinct objective functions are evaluated, both at the end of the line (global approach), and, in turn, at the end of each single span (local approach)