IEEE Transactions on Pattern Analysis and Machine Intelligence

tions. Bootstrap has found many applications in engineering field, including artificial neural networks, biomedical engineering, environmental engineering, image processing, and radar and sonar signal processing. Basic concepts of the bootstrap are summarized in each section as a step-by-step algorithm for ease of implementation. Most of the applications are taken from the signal processing literature. The principles of the bootstrap are introduced in Chapter 2. Both the nonparametric and parametric bootstrap procedures are explained. Babu and Singh (1984) have demonstrated that in general, these two procedures behave similarly for pivotal (Studentized) statistics. The fact that the bootstrap is not the solution for all of the problems has been known to statistics community for a long time; however, this fact is rarely touched on in the manuscripts meant for practitioners. It was first observed by Babu (1984) that the bootstrap does not work in the infinite variance case. Bootstrap Techniques for Signal Processing explains the limitations of bootstrap method with an example. I especially liked the presentation style. The basic results are stated without proofs; however, the application of each result is presented as a simple step-by-step process, easy for nonstatisticians to follow. The bootstrap procedures, such as moving block bootstrap for dependent data, along with applications to autoregressive models and for estimation of power spectral density, are also presented in Chapter 2. Signal detection in the presence of noise is generally formulated as a testing of hypothesis problem. Chapter 3 introduces principles of bootstrap hypothesis testing. The topics are introduced with interesting real life examples. Flow charts, typical in engineering literature, are used to aid explanations of the bootstrap hypothesis testing procedures. The bootstrap leads to second-order correction due to pivoting; this improvement in the results due to pivoting is also explained. In the second part of Chapter 3, signal processing is treated as a regression problem. The performance of the bootstrap for matched filters as well as constant false-alarm rate matched filters is also illustrated. Chapters 2 and 3 focus on estimation problems. Chapter 4 introduces bootstrap methods used in model selection. Due to the inherent structure of the subject matter, this chapter may be difficult for nonstatisticians to follow. Chapter 5 is the most impressive chapter in the book, especially from the standpoint of statisticians. It provides real data bootstrap applications to illustrate the theory covered in the earlier chapters. These include applications to optimal sensor placement for knock detection and land-mine detection. The authors also provide a MATLAB toolbox comprising frequently used routines. Overall, this is a very useful handbook for engineers, especially those working in signal processing.

Probability and Random Processes

IEEE transactions on computer-aided design of integrated circuits and systems : a publication of the IEEE Circuits and Systems Society

Preparing the books to read every day is enjoyable for many people. However, there are still many people who also don't like reading. This is a problem. But, when you can support others to start reading, it will be better. One of the books that can be recommended for new readers is computer aided analysis of electronic circuits algorithms and computational techniques. This book is not kind of difficult book to read. It can be read and understand by the new readers.

Computer-aided analysis of electronic circuits: Algorithms and computational techniques

The Art of Multiprocessor Programming

High-performance parallel computer architecture and systems have been improved at a phenomenal rate. In the meantime, VLSI computer-aided design (CAD) software for multibillion-transistor IC design has become increasingly complex and requires prohibitively high computational resources. Recent studies have shown that, numerous CAD problems, with their high computational complexity, can greatly benefit from the fast-increasing parallel computation capabilities. However, parallel programming imposes big challenges for CAD applications. Fully exploiting the computational power of emerging general-purpose and domain-specific multicore/many-core processor systems, calls for fundamental research and engineering practice across every stage of parallel CAD design, from algorithm exploration, programming models, design-time and run-time environment, to CAD applications, such as verification, optimization, and simulation. This journal special section will cover recent progress on parallel CAD research, including algorithm foundations, programming models, parallel architectural-specific optimization, and verification. More specifically, papers with in-depth and extensive coverage of the following topics will be considered, as well as other topics relevant to the design of parallel CAD algorithms and software tools. 1. Parallel algorithm design and specification for CAD applications 2. Parallel programming models and languages of particular use in CAD 3. Runtime support and performance optimization for CAD applications 4. Parallel architecture-specific design and optimization for CAD applications 5. Parallel program debugging and verification techniques particularly relevant for CAD The papers should be submitted via the Manuscript Central website and should adhere to standard ACM TODAES formatting requirements (http://todaes.acm.org/). The page count limit is 25.

Parallel CAD: Algorithm Design and Programming Special Section Call for Papers TODAES: ACM Transactions on Design Automation of Electronic Systems

Logic encryption is a hardware security technique that uses extra key inputs to lock a given combinational circuit. A recent study by Subramanyan et al. shows that all existing logic encryption techniques can be successfully attacked. As a countermeasure, SARLock was proposed to enhance the security of existing logic encryptions. In this paper, we re-evaluate the security of these approaches. A SAT-based attack called Double DIP is proposed and shown to successfully defeat SARLock-enhanced encryptions.

https://dl.acm.org/doi/pdf/10.1145/3060403.3060469

Double DIP: Re-Evaluating Security of Logic Encryption Algorithms

Due to the scaling down of device geometry and increasing frequency in deep sub-micron designs, crosstalk between interconnection wires has become an important issue in VLSI layout design. In this paper, we consider crosstalk avoidance during global routing. W e present a global routing algorithm based on a new Steiner tree formulation and the Lagrangian relaxation technique. W e also give theoretical results on the complexity of the problem.

/pdf/global-routing-with-crosstalk-constraints-2d6oheh2er.pdf

Global routing with crosstalk constraints

One of the major issues faced by the semiconductor industry today is that of reducing chip yields. As the process technologies have scaled to smaller feature sizes, chip yields have dropped to around 50% or less. This figure is expected to decrease even further in future technologies. To attack this growing problem, we develop four yield-aware microarchitecture schemes for data caches. The first one is called Yield-Aware Power-Down (YAPD). YAPD turns off cache ways that cause delay violation and/or have excessive leakage. We also modify this approach to achieve better yields. This new method is called Horizontal YAPD (HYAPD), which turns off horizontal regions of the cache instead of ways. A third approach targets delay violation in data caches. Particularly, we develop a VAriable-latency Cache Architecture (VACA). VACA allows different load accesses to be completed with varying latencies. This is enabled by augmenting the functional units with special buffers that allow the dependants of a load operation to stall for a cycle if the load operation is delayed. As a result, if some accesses take longer than the predefined number of cycles, the execution can still be performed correctly, albeit with some performance degradation. A fourth scheme we devise is called the Hybrid mechanism, which combines the YAPD and the VACA. As a result of these schemes, chips that may be tossed away due to parametric yield loss can be saved. Experimental results demonstrate that the yield losses can be reduced by 68.1% and 72.4% with YAPD and HYAPD schemes and by 33.3% and 81.1% with VACA and Hybrid mechanisms, respectively, improving the overall yield to as much as 97.0%.

/pdf/yield-aware-cache-architectures-320ygslpyu.pdf

Yield-Aware Cache Architectures

Cyclic logic encryption is a newly proposed circuit obfuscation technique in hardware security. It was claimed to be SAT-unresolvable because feedback cycles were intentionally inserted under keys into the encryption. We show in the paper that even though feedback cycles introduce extra difficulty for an attacker, they can still be overcome with SAT-based techniques. Specifically, we propose CycSAT Algorithms based on SAT with different acyclic conditions that can efficiently decrypt cyclic encryptions. Experimental results have shown that our CycSAT is efficient and effective to decrypt cyclic encryptions, and we need to develop new encryptions with better security properties.

Hai Zhou

Papers

Parallel CAD: Algorithm Design and Programming Special Section Call for Papers TODAES: ACM Transactions on Design Automation of Electronic Systems

Double DIP: Re-Evaluating Security of Logic Encryption Algorithms

Global routing with crosstalk constraints

Yield-Aware Cache Architectures

CycSAT: SAT-based attack on cyclic logic encryptions