1,441 research outputs found

    MINING AND VERIFICATION OF TEMPORAL EVENTS WITH APPLICATIONS IN COMPUTER MICRO-ARCHITECTURE RESEARCH

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    Computer simulation programs are essential tools for scientists and engineers to understand a particular system of interest. As expected, the complexity of the software increases with the depth of the model used. In addition to the exigent demands of software engineering, verification of simulation programs is especially challenging because the models represented are complex and ridden with unknowns that will be discovered by developers in an iterative process. To manage such complexity, advanced verification techniques for continually matching the intended model to the implemented model are necessary. Therefore, the main goal of this research work is to design a useful verification and validation framework that is able to identify model representation errors and is applicable to generic simulators. The framework that was developed and implemented consists of two parts. The first part is First-Order Logic Constraint Specification Language (FOLCSL) that enables users to specify the invariants of a model under consideration. From the first-order logic specification, the FOLCSL translator automatically synthesizes a verification program that reads the event trace generated by a simulator and signals whether all invariants are respected. The second part consists of mining the temporal flow of events using a newly developed representation called State Flow Temporal Analysis Graph (SFTAG). While the first part seeks an assurance of implementation correctness by checking that the model invariants hold, the second part derives an extended model of the implementation and hence enables a deeper understanding of what was implemented. The main application studied in this work is the validation of the timing behavior of micro-architecture simulators. The study includes SFTAGs generated for a wide set of benchmark programs and their analysis using several artificial intelligence algorithms. This work improves the computer architecture research and verification processes as shown by the case studies and experiments that have been conducted

    SoK: Design Tools for Side-Channel-Aware Implementations

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    Side-channel attacks that leak sensitive information through a computing device's interaction with its physical environment have proven to be a severe threat to devices' security, particularly when adversaries have unfettered physical access to the device. Traditional approaches for leakage detection measure the physical properties of the device. Hence, they cannot be used during the design process and fail to provide root cause analysis. An alternative approach that is gaining traction is to automate leakage detection by modeling the device. The demand to understand the scope, benefits, and limitations of the proposed tools intensifies with the increase in the number of proposals. In this SoK, we classify approaches to automated leakage detection based on the model's source of truth. We classify the existing tools on two main parameters: whether the model includes measurements from a concrete device and the abstraction level of the device specification used for constructing the model. We survey the proposed tools to determine the current knowledge level across the domain and identify open problems. In particular, we highlight the absence of evaluation methodologies and metrics that would compare proposals' effectiveness from across the domain. We believe that our results help practitioners who want to use automated leakage detection and researchers interested in advancing the knowledge and improving automated leakage detection

    Clock Gating Assertion Check An Approach Towards Efficient Verification Closure On Clock Gating Functionality

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    One of the power reduction techniques widely used in Register Transfer Level (RTL) stage of a design is clock gating. However, the addition of clock gating logics has increased the complexity of a design and therefore considerable amount of verification effort is required. The conventional verification method used widely is the scoreboard checking mechanism in Open Verification Methodology (OVM) verification environment. In addition, there are several methods proposed over the years to solve the verification of clock gating logics, for example, same master seed usage in multiple simulations, RTL to ACL2 translation and gated clock timing verification. However, the previous proposed methods still lack the capability to completely comprehend the checking of the correctness of clock gating logics of a design. The proposed verification method, called Clock Gating Assertion Check (CGAC) is aimed at addressing the limitation of the conventional verification method. The method is independent of verification environment used in a test bench. Besides, the proposed method is also aiming at achieving an efficient pre-silicon verification closure on clock gating logics with minimum verification effort. The proposed method is an automated flow that takes in two main inputs, namely codes written in Hardware Description Language (HDL) in RTL stage and clock domains information of a design. By using the main inputs, the proposed method generates assertion checks at possible clock gating boundary conditions. The clock gating logics of two Soft Intellectual Property (SIP) designs were verified using the CGAC method. The details of the implementation of the method are discussed in this thesis. By using the method, a total of five clock gating bugs were found and analysis on the impacts of the bugs is discussed. The proposed method further improved the efficiency of clock gating functional verification by 87.5% and 75% in terms of verification time spent in weeks for the first and second design respectively compared to the conventional method used which is OVM. However, there are a few limitations in the proposed method whereby it is used within Intel, the design information cannot be disclosed in this thesis and the designs are not within the author’s control. As a conclusion, based on the results obtained, it is concluded that the proposed method is proven effective in ensuring the correct clock gating implementation in a design

    Test-Driven, Model-Based Systems Engineering.

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    Establishing a Novel Modeling Tool: A Python-Based Interface for a Neuromorphic Hardware System

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    Neuromorphic hardware systems provide new possibilities for the neuroscience modeling community. Due to the intrinsic parallelism of the micro-electronic emulation of neural computation, such models are highly scalable without a loss of speed. However, the communities of software simulator users and neuromorphic engineering in neuroscience are rather disjoint. We present a software concept that provides the possibility to establish such hardware devices as valuable modeling tools. It is based on the integration of the hardware interface into a simulator-independent language which allows for unified experiment descriptions that can be run on various simulation platforms without modification, implying experiment portability and a huge simplification of the quantitative comparison of hardware and simulator results. We introduce an accelerated neuromorphic hardware device and describe the implementation of the proposed concept for this system. An example setup and results acquired by utilizing both the hardware system and a software simulator are demonstrated

    Simulating and analyzing commercial workloads and computer systems

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    Design and Validation of an Open-Source Closed-Loop Testbed for Artificial Pancreas Systems

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    The development of a fully autonomous artificial pancreas system (APS) to independently regulate the glucose levels of a patient with Type 1 diabetes has been a long-standing goal of diabetes research. A significant barrier to progress is the difficulty of testing new control algorithms and safety features, since clinical trials are time- and resource-intensive. To facilitate ease of validation, we propose an open-source APS testbed by integrating APS controllers with two state-of-the-art glucose simulators and a novel fault injection engine. The testbed is able to reproduce the blood glucose trajectories of real patients from a clinical trial conducted over six months. We evaluate the performance of two closed-loop control algorithms (OpenAPS and Basal Bolus) using the testbed and find that more advanced control algorithms are able to keep blood glucose in a safe region 93.49% and 79.46% of the time on average, compared with 66.18% of the time for the clinical trial. The fault injection engine simulates the real recalls and adverse events reported to the U.S. Food and Drug Administration (FDA) and demonstrates the resilience of the controller in hazardous conditions. We used the testbed to generate 2.5 years of synthetic data representing 20 different patient profiles with realistic adverse event scenarios, which would have been expensive and risky to collect in a clinical trial. The proposed testbed is a valid tool that can be used by the research community to demonstrate the effectiveness of different control algorithms and safety features for APS.Comment: 12 pages, 12 figures, to appear in the IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), 202
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