GPU Parallelism for SAT Solving Heuristics

Modern SAT solvers employ a number of smart techniques and strategies to achieve maximum efficiency in solving the Boolean Satisfiability problem. Among all components of a solver, the branching heuristics plays a crucial role in affecting the performance of the entire solver. Traditionally, the main branching heuristics that have appeared in the literature have been classified as look-back heuristics or look-ahead heuristics. As SAT technology has evolved, the former have become more and more preferable, for their demand for less computational effort. Graphics Processor Units (GPUs) are massively parallel devices that have spread enormously over the past few decades and offer great computing power at a relatively low cost. We describe how to exploit such computational power to efficiently implement look-ahead heuristics. Our aim is to “rehabilitate” these heuristics, by showing their effectiveness in the contest of a parallel SAT solver

Synthesis of synchronous elastic architectures

A simple protocol for latency-insensitive design is presented. The main features of the protocol are the efficient implementation of elastic communication channels and the automatable design methodology. With this approach, fine-granularity elasticity can be introduced at the level of functional units (e.g. ALUs, memories). A formal specification of the protocol is defined and an efficient scheme for the implementation of elasticity that involves no datapath overhead is presented. The opportunities this protocol opens for microarchitectural design are discussed.Peer ReviewedPostprint (author's final draft

Physical design of USB1.1

In earlier days, interfacing peripheral devices to host computer has a big problematic. There existed so many different kinds’ ports like serial port, parallel port, PS/2 etc. And their use restricts many situations, Such as no hot-pluggability and involuntary configuration. There are very less number of methods to connect the peripheral devices to host computer. The main reason that Universal Serial Bus was implemented to provide an additional benefits compared to earlier interfacing ports. USB is designed to allow many peripheral be connecting using single standardize interface. It provides an expandable fast, cost effective, hot-pluggable plug and play serial hardware interface that makes life of computer user easier allowing them to plug different devices to into USB port and have them configured automatically. In this thesis demonstrated the USB v1.1 architecture part in briefly and generated gate level net list form RTL code by applying the different constraints like timing, area and power. By applying the various types design constraints so that the performance was improved by 30%. And then it implemented in physically by using SoC encounter EDI system, estimation of chip size, power analysis and routing the clock signal to all flip-flops presented in the design. To reduce the clock switching power implemented register clustering algorithm (DBSCAN). In this design implementation TSMC 180nm technology library is used

Generation 1.5 Writing Center Practice: Problems with Multilingualism and Possibilities via Hybridity

In much writing center theory and practice, conversations about multilingual writers have tended to involve L2 writers. Often international students, these writers speak at least one language other than English, but they perhaps speak more than just one other language despite their L2 designation. They do not speak English as their first language, and when they come to English-language-based institutions of higher education, they find themselves needing to learn and learning English. More recently, however, the field of writing center scholarship has recognized complexity in the category of multilingualism. Especially following the publication of Terese Thonus’s “Serving Generation 1.5 Learners in the University Writing Center,” Generation 1.5 or L1.5 writers have emerged as part and parcel of writing center practitioners’ and scholars’ conversations. Neither L1 speakers and writers nor L2 necessarily, Generation 1.5 writers exist in a linguistic liminal space. Although much variation exists among Generation 1.5 writers and although Generation 1.5 writers do not inherently represent a single, transitional generation in a family’s immigrant history,1 Linda Harklau, K. M. Losey, and Meryl Seigal define them as writers with “backgrounds in US culture and schooling” who sustain identities that are “distinct from international students or other newcomers who have been the subject of most ESL writing literature” (vii). They differ from English as a Second Language (ESL) students in that they “are primarily ear learners,” and they may “have lost, or are in the process of losing, their home language(s) without having learned their writing systems or academic registers” (Thonus 18). They are neither here nor there in terms of their linguistic identities. Or, perhaps, they are both here and there.University Writing Cente

Low-Power Mixed-Signal ASIC for Cryogenic SiPM Readout

L'abstract è presente nell'allegato / the abstract is in the attachmen

A complete system for controlling and monitoring the timing of the LHCb experiment

The LHCb experiment at CERN will study the results of the production of B/antiB in the LHC accelerator mesons with the higher precision ever. It is vital that the experiment is able to record sub-detectors signals at the optimal detector efficiency, referring to the right collision occurring in the LHC ring, and that those signals are stable, clean and reliable. The solution is the development of a complete system to centrally time align and at the same time to monitor the timing of the whole experiment. An electronics custom-made acquisition board, called Beam Phase and Intensity Monitor (BPIM), has the main aim to monitor the beam processing a bipolar signal coming from a dedicated Beam Pick-Up detector, sitting along the LHC ring and whose signal is a clear representation of the bunches of protons. The BPIM is then able to integrate the intensity of the beam and at the same time to compare the phase of the bunch signal with the clock coming from the timing distribution system as well as the phase of the orbit signal with the signal generated from the first beam bunch. The principal applications of the BPIM are to determine the position of the orbit signal locally, to monitor bunch-by-bunch the clock phase with respect to the bunch passing through the detector, to have a clear structure of the beam injected, to determine the exact trigger conditions for sampling events in the detector, to determine the exact trigger conditions for significative events of not, checking whether the detector samples a bunch with protons (or lead ions) or an empty bunch, to produce an empty crossing veto for the sampled events whenever a bunch is absent in the expected location, to have a relative measure of the intensities of bunch, to have instantaneaous information about the presence/absence of beam, and, not less important, to search for ghost bunches. The board is paired with the RF2TTC system developed by the LHC group and whose aim is to control, clean, convert and transmit the bunch clock (~40 MHz) and the orbit clock (~11 KHz) to the the whole experiment. A complete user-friendly interface system, developed using the SCADA software PVSS II with the Distributed Information Management (DIM) system as communication protocol, allows to control and monitor real-time the available information

The 1991 3rd NASA Symposium on VLSI Design

Papers from the symposium are presented from the following sessions: (1) featured presentations 1; (2) very large scale integration (VLSI) circuit design; (3) VLSI architecture 1; (4) featured presentations 2; (5) neural networks; (6) VLSI architectures 2; (7) featured presentations 3; (8) verification 1; (9) analog design; (10) verification 2; (11) design innovations 1; (12) asynchronous design; and (13) design innovations 2

Design and Implementation of a Wireless Home Automation Control System with Speech Recognition

Home automation systems became one of the most interesting areas for both the construction and the electronics sector. Changing the state of the home appliances easily, scheduling events, and remote control capabilities using high technologies attract modern home residents everyday. This thesis researches the possibilities of applying speech recognition solutions to automated homes. Speech based solutions would provide great benefits especially to disabled or elder people. In addition, wireless devices prevent cabling complications through the walls. An open source software based on the Hidden Markov Models called Sphinx 4 has been used to realize the speech recognition in this thesis. The speech recognition system has been developed in a Linux PC and a wireless node was attached to it, so that it became a small command center. Another wireless node was connected to a lighting control system and a servo motor so that it became an actuator, wirelessly controlled from the command center. This way the skeleton of a speech based home automation system has been built and verified to work. In the results section, the recognition accuracy analysis, power consumption tests, and range tests were performed to verify the robustness of the system.fi=Opinnäytetyö kokotekstinä PDF-muodossa.|en=Thesis fulltext in PDF format.|sv=Lärdomsprov tillgängligt som fulltext i PDF-format

Elastic circuits

Elasticity in circuits and systems provides tolerance to variations in computation and communication delays. This paper presents a comprehensive overview of elastic circuits for those designers who are mainly familiar with synchronous design. Elasticity can be implemented both synchronously and asynchronously, although it was traditionally more often associated with asynchronous circuits. This paper shows that synchronous and asynchronous elastic circuits can be designed, analyzed, and optimized using similar techniques. Thus, choices between synchronous and asynchronous implementations are localized and deferred until late in the design process.Peer ReviewedPostprint (published version

Evaluating Convolutional Neural Networks Reliability depending on their Data Representation

Safety-critical applications are frequently based on deep learning algorithms. In particular, Convolutional Neural Networks (CNNs) are commonly deployed in autonomous driving applications to fulfil complex tasks such as object recognition and image classification. Ensuring the reliability of CNNs is thus becoming an urgent requirement since they constantly behave in human environments. A common and recent trend is to replace the full-precision CNNs to make way for more optimized models exploiting approximation paradigms such as reduced bit-width data type. If from one hand this is poised to become a sound solution for reducing the memory footprint as well as the computing requirements, it may negatively affect the CNNs resilience. The intent of this work is to assess the reliability of a CNN-based system when reduced bit-widths are used for the network parameters (i.e., synaptic weights). The approach evaluates the impact of permanent faults in CNNs by adopting several bit-width schemes and data types, i.e., floating-point and fixed-point. This determines the trade-off between the CNN accuracy and the bits required to represent network weights. The characterization is performed through a fault injection environment built on the darknet open source framework. Experimental results show the effects of permanent fault injections on the weights of LeNet-5 CNN