From the Publisher:
This book is intended for two groups of readers: (a) practicing programmers, who need to acquaint themselves with techniques for optimizing their code on different kinds of hardware, and (b) managers (and others, including programmers) who need to know how to evaluate different kinds of hardware. 
This new edition of High Performance Computing gives a thorough overview of the latest workstation and PC architectures and the trends that will in?uence the next generation. It pays special attention to memory design, tuning code for the best performance, multiprocessors, and benchmarking.

/pdf/high-performance-computing-56e651oppe.pdf

High Performance Computing

In the past four years a theory has been developed for finding fundamental units in hyperelliptic fields, and on basis of this theory innovative and efficient algorithms for computing them have been constructed and implemented. A new local-global principle was discovered which gives a criterion for the existence of non-trivial units in hyperelliptic fields. The natural connection between the problem of computing fundamental units and the problem of torsion in Jacobian varieties of hyperelliptic curves over the rational number field has led to breakthrough results in the solution of this problem. The main results in the present survey were largely obtained using a symbiosis of deep theory, efficient algorithms, and supercomputing. Such a symbiosis will play an ever increasing role in the mathematics of the 21st century. Bibliography: 27 titles.

https://iopscience.iop.org/article/10.1070/RM2014v069n01ABEH004877/pdf

Number-theoretic properties of hyperelliptic fields and the torsion problem in Jacobians of hyperelliptic curves over the rational number field

Until recently, application developers could often assume a target environment that was homogeneous, reliable, secure, and centrally managed. However, with the advent of collaborative computing and data sharing, more and more new modes of interaction have evolved resulting in the need and use of distributed resources. Work within this community has led to the development of Grid technologies [1], which address precisely these problems. In grid computing, heterogeneous resources distributed geographically are virtualized as a unified whole. Grid computing, as a result, provides enormous opportunities in terms of resource sharing, maximization of resource utilization and virtualization of resources. Because of its immense potential, not only the scientific community, but also the IT enterprise communities are excited about its prospect. A recent survey ranked grid computing as sixth on priority lists for IT spending among industry professionals [5]. With this much interest, security becomes necessary to provide authentication, authorization, resource protection, secure communication, data confidentiality, data integrity, trust policies management, user key and credential management, service protection, and network security. This paper provides an insight classification of the different mechanisms and methods of security in grid computing environment, and also discusses the solutions for each category and its limitation in order to define the real problems in grid computing security. In our approach, we categorize the security solutions into Resources Level, Service Level, Authentication & Authorization Level, Information Level, and Management Level Solutions.

Grid computing security mechanisms: State-of-the-art

One evolutionary algorithm deceives humans and ten convolutional neural networks trained on ImageNet at image recognition

Genus 2 curves have been an object of much mathematical interest since eighteenth century and continued interest to date. They have become an important tool in many algorithms in cryptographic applications, such as factoring large numbers, hyperelliptic curve cryptography, etc. Choosing genus 2 curves suitable for such applications is an important step of such algorithms. In existing algorithms often such curves are chosen using equations of moduli spaces of curves with decomposable Jacobians or Humbert surfaces. 
In these lectures we will cover basic properties of genus 2 curves, moduli spaces of (n,n)-decomposable Jacobians and Humbert surfaces, modular polynomials of genus 2, Kummer surfaces, theta-functions and the arithmetic on the Jacobians of genus 2, and their applications to cryptography. The lectures are intended for graduate students in algebra, cryptography, and related areas.

pdf/the-arithmetic-of-genus-two-curves-26n2mrfz3m.pdf

The arithmetic of genus two curves.

The range of applications of Neural Networks encompasses image classification. However, Neural Networks are exposed to vulnerabilities, and may misclassify adversarial images, leading to potentially disastrous consequences. We give here a proof of concept of a black-box, targeted, non-parametric attack using evolutionary algorithms to fool both neural networks and humans at the task of image classification. Our feasibility study is performed on VGG-16 trained on CIFAR-10. Given two categories \(c_i \ne c_t\) of CIFAR-10, and an original image classified by VGG-16 as belonging to \(c_i\), we evolve this original image to a modified image that will be classified by VGG-16 as belonging to \(c_t\), although a human would still likely classify the modified image as belonging to \(c_i\).

A proof of concept to deceive humans and machines at image classification with evolutionary algorithms

Deep Learning is based on deep neural networks trained over huge sets of examples. It enabled computers to compete with—or even outperform—humans at many tasks, from playing Go to driving vehicules.

Evolutionary Algorithms for Convolutional Neural Network Visualisation

The range of applications of Neural Networks encompasses image classification. However, Neural Networks are vulnerable to attacks, and may misclassify adversarial images, leading to potentially dis...

/pdf/evolutionary-algorithms-deceive-humans-and-machines-at-image-4h65ily7cb.pdf

Evolutionary algorithms deceive humans and machines at image classification: An extended proof of concept on two scenarios

How to hide who is communicating with whom? How to hide when a person is communicating? How to even hide the existence of ongoing communications? Partial answers to these questions have already been proposed, usually as byproducts of anonymity providing systems The most advanced one available today is Onion-Routing and is implemented in Tor and I2P Still, Onion-Routing is exposed to a series of serious attacks The current paper classifies these series of attacks, and announces the TrueNyms unobservability protocol We describe here how TrueNyms handles one of the families of attacks applying to the current Onion-Routing system, namely traffic analysis on the "shape", and give some evidence on its performance Developed since 2003, TrueNyms is not anymore an academic answer to a privacy problem, but is a heavily tested and efficient product providing unobservability and anonymity Although it cannot be used (for the time-being) for very low-latency applications like telephony over IP, TrueNyms can be efficiently used for most low-latency applications like Web browsing and HTTP-based protocols (RSS for instance), Instant Messaging, File transfers, audio and video streaming, remote shell, etc TrueNyms allows parties to communicate without revealing anything about the communication -- including its very existence -- to any observer, despite how powerful such an observer might be

Beyond TOR: the truenyms protocol

How Evolutionary Algorithms and Information Hiding deceive machines and humans for image recognition: A research program

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