27475892
SILK: a simulated evolution router
The authors present a rip-up-and-rerouter based on a matrix representation scheme and simulated evolution technique for solving detailed routing problems in VLSI layout. The status of the routing region is represented as a matrix. Rip-up and reroute operations are emulated as matrix subtractions and additions, respectively. The quality of a routing result can be measured by a few simple matrix operations on the matrix. A rip-up and reroute switch-box/channel router, called SILK, using a simulated evolution technique has been implemented based on this representation alone. Experimental results showed that SILK, when solving all the benchmarks from the literature, outperformed WEAVER, the most successful switch-box router to date, in both quality and speed aspects. >
6763648
An effective methodology for functional pipelining
We address the problem of given a loop behavior, a target initiation interval and resource constraints, scheduling a loop in a pipelined fashion such that the iteration time (turn-around time) is minimized. The iteration time is an important quality measure of a data path design because of its direct correlationship with both the storage and the control costs. Our scheduler starts with performing an As Soon As Possible Pipelined (ASAPp) scheduling without regard to the resource constraint. It then resolves the resource constraint violations, if there are any, by repeatedly rescheduling some operations.
195838317
Data path allocation based on bipartite weighted matching
Proposes a graph-theoretic approach for the data path allocation problem. The problem is decomposed into three subproblems: (1) register allocation, (2) operation assignment, and (3) connection allocation. The first two subproblems are modeled as two bipartite weighted matching problems and solved using the Hungarian method. The third subproblem is solved using a greedy method. It is shown that, by taking the other into consideration while solving one, equally satisfactory results can be obtained, regardless of the order in which (1) and (2) are performed. Two programs, LYRA and ARYL, are implemented which solve the subtasks in different orders. For register allocation, the approach is the first one to guarantee minimal use of registers while being able to take the interconnection cost into account. This research has demonstrated that the bipartite weighted matching algorithm is indeed a good solution for the data path allocation problem.<<ETX>>
195837942
Optimum and heuristic data path scheduling under resource constraints
An integer linear programming model for the scheduling problem in high-level synthesis under resource constraints is presented. The following applications are considered: multicycle operations with nonpipelined or pipelined function units: mutually exclusive operations: functional pipelining: loop-folding; and scheduling under bus constraint. Besides the model, a new technique, called zone scheduling (ZS), is proposed to solve large-size problems. ZS partitions the distribution graph into several zones and sequentially solves the problems contained. A novel feature of this technique is that it schedules more than one control step at a time, allowing a more global view of a scheduling problem to be taken.<<ETX>>
16396963
Performance-driven interconnection optimization for microarchitecture synthesis
This paper addresses the interconnection synthesis problem in microarchitecture-level designs. With emphasis on the speed of data movement operations, we propose algorithms that take into consideration the effect of each data-transfer-to-bus binding on the data transfer delay time. The delay time is calculated as a function of both data source load and data carrier (bus) load. By balancing loads among hardware components, the data transfer delay time (hence the total execution time) is shortened. We consider two types of problems: resource-constrained binding and performance-constrained binding. Two integer linear programming (ILP) formulations are derived to optimally solve the problems. In order to speed up the computation, a bipartite weighted matching method for the resource-constrained binding and a greedy merging method for the performance-constrained binding are also proposed. Both the ILP formulation generators and the heuristics have been programmed. Experimental results indicate that the proposed algorithms are indeed very effective in optimizing the performance aspect of the interconnection design. >
53235373
Performance-optimal clustering with retiming for sequential circuits
10935949
A time-division algorithm for parallel simulation
Most parallel simulation algorithms (e.g., Chandy and Misra’s algorithm or the Time Warp algorithm) are based on a “space-division” approach. The parallelism of this approach is limited by the causality constraints. Another approach, the “time-division” approach, may provide more parallelism if the time domain is appropriately partitioned. We present a time-division parallel simulation algorithm that partitions the time domain via state matching, We show that linear speed up can be achieved. For a complex system, the best parallel simulation approach is to integrate “time-division” and “space-division” algorithms: the simulated system is partitioned into several subsystems; a subsystem may be simulated by the time-division approach (e. g., our algorithm), while the overall system is simulated by the space-division approach.
32261160
Channel assignment for GSM half-rate and full-rate traffic
Global System for Mobile Communications (GSM) supports full-rate and half-rate calls. In this paper, we propose analytical and simulation models to study the performance of four channel assignment schemes for GSM half-rate and full-rate traffic. Our study indicates that among the four schemes, the repacking scheme has the best performance for mixing half-rate and full-rate traffic. We also observe that good performance is expected if the standard derivation of the cell residence time for a mobile station is large.
26216894
Equal resource sharing scheduling for PCS data services
For high speed mobile communication applications, the data rate can be increased by using multiple channels (or time slots) instead of one channel. To reduce the high blocking rate of multiple channels assignment, flexible resource allocation strategies have been proposed. This paper proposes the Equal Resource Sharing Allocation scheme (ERSA scheme) for flexible resource allocation. The ERSA scheme dynamically averages the allocated resource to the call requests based on the number of calls in a base station. The scheme accommodates the maximum number of requests while providing acceptable quality to the admitted requests. We developed an analytic model to investigate the performance of ERSA, and conducted simulation experiments to validate the analytic model. We define satisfaction indication SI as the performance measurement of the resource allocation algorithm. The experiment results indicate that the ERSA scheme outperforms other resource allocation algorithms proposed in our previous study.
26702573
Evolution and Evaluation of Internet Content Delivery
Discover the methods for content delivery and distribution of Web-based media in the Web 2.0 world. The concept of Web caches has existed as long as the Web and evolved from storage of frequently accessed files on an individual's personal computer or proxy server to Internet-based Web cache servers provided by companies as a paid subscription service for content providers. As multimedia has become more prevalent on the Web, content delivery networks (CDNs) have become a critical component of the Internet and an enabler of Web 2.0 applications like IPTV, mobile Web and TV devices, and content-rich Web databases such as Wikimedia.
5123114
Bayesian Regularization and Nonnegative Deconvolution for Time Delay Estimation
Bayesian Regularization and Nonnegative Deconvolution (BRAND) is proposed for estimating time delays of acoustic signals in reverberant environments. Sparsity of the nonnegative filter coefficients is enforced using an L1-norm regularization. A probabilistic generative model is used to simultaneously estimate the regularization parameters and filter coefficients from the signal data. Iterative update rules are derived under a Bayesian framework using the Expectation-Maximization procedure. The resulting time delay estimation algorithm is demonstrated on noisy acoustic data.