Electrical & Computer Engineering Research Works

Permanent URI for this collectionhttp://hdl.handle.net/1903/1658

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Author: search.filters.author.Wong, Jennifer L.

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Now showing 1 - 7 of 7
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    Power Minimization under QoS Constraints
    (IEEE, 2002-04) Wong, Jennifer L.; Qu, Gang; Potkonjak, Miodrag
    QoS has been often addressed in multimedia, video, and networking research communities, but rarely in the design community. Our goal is to introduce the first system design technique for comprehensive quality-of-service (QoS) low power synthesis. Specifically, we study how to efficiently exploit the trade-o between the system cost and energy consumption in real-time systems that address packet-based multimedia transmission and processing. We first introduce a system of techniques that minimizes energy consumption of stream-oriented applications under two main QoS metrics: latency and synchronization. Speci cally, we study how multiple voltages can be used to simultaneously satisfy hardware requirements and minimize power consumption, while preserving the requested level of QoS, in this case satisfying latency and synchronization requirements. We have developed a provably optimal polynomial time o -line algorithm for multiple volt- age scheduling of single and multiple processes. The o -line algorithm provides lower bounds on achievable power minimization and can be used as a starting point for the development and evaluation of an on-line approach. The effectiveness of the algorithm is demonstrated on a number of multimedia benchmarks.
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    An On-line Approach for Power Minimization in QoS Sensitive Systems
    (IEEE, 2003-01) Wong, Jennifer L.; Qu, Gang; Potkonjak, Miodrag
    Majority of modern mobile systems have two common denominators: quality-of-service (QoS) requirements, such as latency and synchronization, and strict energy constraints. However, until now no synthesis techniques have been proposed for the design and efficient use of such systems. We have two main objectives: synthesis and conceptual. The synthesis goal is to introduce the first design technique for quality-of-service (QoS) low power synthesis. The conceptual objective is to develop a generic technique for the automatic development of on-line algorithms from efficient off-line algorithms using statistical techniques. We first summarize a system of provably-optimal techniques that minimize energy consumption of stream-oriented applications under two main QoS metrics: latency and synchronization. Specifically, we study how multiple voltages can be used to simultaneously satisfy hardware requirements and minimize power consumption, while preserving the requested level of QoS in terms of latency and synchronization. The off-line algorithm is used as input to statistical software used to identify important relevant parameters of the processes, buffer occupancy rate indicators, and a way how combine them to form a fast and efficient on-line algorithm which decides which task to run at which voltage. The effectiveness of the algorithms is demonstrated on a number of standard multimedia benchmarks.
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    Fair Watermarking Techniques
    (IEEE, 2000-01) Qu, Gang; Wong, Jennifer L.; Potkonjak, Miodrag
    Many intellectual property protection (IPP) techniques have been proposed. Their primary objectives are providing convincible proof of authorship with least degradation of the quality of the intellectual property (IP), and achieving robustness against attacks. These are also well accepted as the most important criteria to evaluate different IPP techniques. The essence of such techniques is to limit the solution space by embedding signatures as constraints. One key issue that should be addressed but has not been discussed is the fairness of the techniques: what is the quality of the solution subspace for different signatures, that is, how large the solution subspace is (uniqueness), and how difficulty it is to get a solution from such subspace (hardness)? In this paper, we introduce fairness as one of the metrics for good IPP techniques and post the challenge problem of how to design fair watermarking techniques. We claim that all fair techniques have to be instanceoriented and due to the complexity of the problem itself, we propose an approach that utilizes the statistical information of the problem instance. We use the satisfiability (SAT) problem as an example to illustrate how fairness could be achieved. We make the observation that the unfairness of the previous watermarking techniques comes from the global embedding of the signature and propose fair watermarking techniques. We test the uniqueness and hardness on a model with full knowledge of the solution and real life benchmarks as well. The experimental results show fairness can be achieved.
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    Optimization-Intensive Watermarking Techniques for Decision Problems
    (IEEE, 1999-06) Wong, Jennifer L.; Qu, Gang; Potkonjak, Miodrag
    Abstract—Recently, a number of watermarking-based intellectual property protection techniques have been proposed. Although they have been applied to different stages in the design process and have a great variety of technical and theoretical features, all of them share two common properties: 1) they are applied solely to optimization problems and 2) do not involve any optimization during the watermarking process. In this paper, we propose the first set of optimization-intensive watermarking techniques for decision problems. In particular, we demonstrate, by example of the Boolean satisfiability (SAT) problem, how one can select a subset of superimposed watermarking constraints so that the uniqueness of the signature and the likelihood of satisfying the satisfiability problem are simultaneously maximized. We have developed three SAT watermarking techniques: adding clauses, deleting literals, and push-out and pull-back. Each technique targets different types of signature-induced constraint superimposition on an instance of the SAT problem. In addition to comprehensive experimental validation, we theoretically analyze the potentials and limitations of the proposed watermarking techniques. Furthermore, we analyze the three proposed optimization-intensive watermarking SAT techniques in terms of their suitability for copy detection.
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    Effective Iterative Techniques for Fingerprinting Design IP
    (IEEE, 1999-06) Caldwell, Andrew E.; Choi, Hyun-Jin; Kahng, Andrew B.; Mantik, Stefanus; Potkonjak, Miodrag; Qu, Gang; Wong, Jennifer L.
    While previous watermarking-based approaches to intellectual property protection (IPP) have asymmetrically emphasized the IP provider’s rights, the true goal of IPP is to ensure the rights of both the IP provider and the IP buyer. Symmetric fingerprinting schemes have been widely and effectively used to achieve this goal; however, their application domain has been restricted only to static artifacts, such as image and audio. In this paper, we propose the first generic symmetric fingerprinting technique which can be applied to an arbitrary optimization/synthesis problem and, therefore, to hardware and software intellectual property. The key idea is to apply iterative optimization in an incremental fashion to solve a fingerprinted instance; this leverages the optimization effort already spent in obtaining a previous solution, yet generates a uniquely fingerprinted new solution. We use this approach as the basis for developing specific fingerprinting techniques for four important problems in VLSI CAD: partitioning, graph coloring, satisfiability, and standard-cell placement. We demonstrate the effectiveness of our fingerprinting techniques on a number of standard benchmarks for these tasks. Our approach provides an effective tradeoff between runtime and resilience against collusion.
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    Effective Iterative Techniques for Fingerprinting Design IP
    (IEEE, 2004-01) Caldwell, Andrew E.; Choi, Hyun-Jin; Kahng, Andrew B.; Mantik, Stefanus; Potkonjak, Miodrag; Qu, Gang; Wong, Jennifer L.
    Fingerprinting is an approach that assigns a unique and invisible ID to each sold instance of the intellectual property (IP). One of the key advantages fingerprinting-based intellectual property protection (IPP) has over watermarking-based IPP is the enabling of tracing stolen hardware or software. Fingerprinting schemes have been widely and effectively used to achieve this goal; however, their application domain has been restricted only to static artifacts, such as image and audio, where distinct copies can be obtained easily. In this paper, we propose the first generic fingerprinting technique that can be applied to an arbitrary synthesis (optimization or decision) or compilation problem and, therefore to hardware and software IPs. The key problem with design IP fingerprinting is that there is a need to generate a large number of structurally unique but functionally and timing identical designs. To reduce the cost of generating such distinct copies, we apply iterative optimization in an incremental fashion to solve a fingerprinted instance. Therefore, we leverage on the optimization effort already spent in obtaining previous solutions, yet we generate a uniquely fingerprinted new solution. This generic approach is the basis for developing specific fingerprinting techniques for four important problems in VLSI CAD: partitioning, graph coloring, satisfiability, and standard-cell placement. We demonstrate the effectiveness of the new fingerprinting-based IPP techniques on a number of standard benchmarks.
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    Optimization-Intensive Watermarking Techniques for Decision Problems
    (IEEE, 2004-01) Wong, Jennifer L.; Qu, Gang; Potkonjak, Miodrag
    Recently, a number of watermarking-based intellectual property protection techniques have been proposed. Although they have been applied to different stages in the design process and have a great variety of technical and theoretical features, all of them share two common properties: 1) they are applied solely to optimization problems and 2) do not involve any optimization during the watermarking process. In this paper, we propose the first set of optimization-intensive watermarking techniques for decision problems. In particular, we demonstrate, by example of the Boolean satisfiability (SAT) problem, how one can select a subset of superimposed watermarking constraints so that the uniqueness of the signature and the likelihood of satisfying the satisfiability problem are simultaneously maximized. We have developed three SAT watermarking techniques: adding clauses, deleting literals, and push-out and pull-back. Each technique targets different types of signature-induced constraint superimposition on an instance of the SAT problem. In addition to comprehensive experimental validation, we theoretically analyze the potentials and limitations of the proposed watermarking techniques. Furthermore, we analyze the three proposed optimization-intensive watermarking SAT techniques in terms of their suitability for copy detection.