Wcet tool challenge 2011: Report

2003

Proceedings of FloCon, 2006

While current toolkits for analysis of flow-records such as SiLK are powerful and versatile, real-time analysis of flow records at very large flow collection installations continues to be a challenge. In this paper we present a new approach for summarization and ...

Computers & Graphics, 2014

Graphics is a biennial international conference affiliated with the Chinese Computer Federation. It provides a worldwide forum for international researchers, scholars and developers to exchange and explore new ideas and trends on computer-aided design, computer graphics, electronic design automation, and visualization. This venue marked a milestone in the longstanding cooperation between CAD/Graphics and the Computers and Graphics Journal. Unlike previous years, where selected papers would be extended and submitted to special journal sections, the Conference Organizers and the Editor-in-Chief of this journal decided to select all journal-quality papers before the venue, while keeping rigorous standards of excellence. To improve decisions and provide greater quality feedback to authors, this year saw notable changes in the review process. The Program Co-Chairs assigned each paper to a primary reviewer and a secondary reviewer selected from a program committee including world-class experts in the CAD/CG areas. Subsequently the primary invited at least two external reviewers outside the program committee. Each paper received at least three reviews before the primary made a recommendation to the Program Co-Chairs. The Program Co-Chairs made the final decisions based on the primary's recommendations and the assessments of all reviewers. This year the conference received 344 submissions, out of which 31 manuscripts were accepted as regular papers and published in this special section of Computers & Graphics. The selection process took two rounds of reviewing over a period of 9 weeks during which 1159 expert assessments were received. This resulted in a highly competitive acceptance rate of 9.0%. Additionally, 49 full conference papers and 40 poster communications appeared in the conference program and proceedings published by IEEE Conference Publishing Services (CPS). Both journal and conference papers were presented in a two-track format while the posters were discussed in a dedicated session at the conference. This event would not be possible without the enthusiasm and the committed efforts of many dedicated people. We are

IEEE Transactions on Automation Science and Engineering, 2010

We demonstrate that flow line models with deterministic service times and an arbitrary arrival process may be exactly decomposed into segments that each exhibit similar behavior. We call the segments channels and demonstrate that this decomposition leads to a recursion for the delay experienced by customers within the system. The consequence, in addition to clearly elucidating the manner in which customers advance, is that the state of a flow line at any time can be completely characterized by a handful of parameters per channel. The recursions and channel decomposition allow us to model a class of state dependent failures that are common in certain cluster tools in semiconductor wafer manufacturing. Using the fact that wafers are typically grouped into batches, we are able to reduce the computation required to simulate the wafer advancement by about 50 times. The models have been tested with data from a clustered photolithography tool in production and provide throughput and process time predictions within 0.5% and 3% of the actual performance, respectively. Note to Practitioners-Flow line models can be used to model assembly lines, tandem manufacturing systems, and robotic work cells such as cluster tools. In semiconductor wafer fabrication, generic cluster tools have become increasingly important and the class of clustered photolithography tools are essential to production. We develop deterministic flow line models allowing for setups that depend on the location of wafers within a tool. A reduction in computational complexity is achieved by noting that wafers are often grouped into wafer lots. Tests of the models against actual production data for clustered photolithography tools have shown that the reduction in computation required to simulate production with setups is on the order of 50 times, while still achieving a throughput and cycle time accuracy of 0.5% and 3%, respectively. Thus, for important classes of tools, the models are good candidates for use in simulation and to determine a tool's intrinsic equipment loss (that is, the throughput loss caused by setups, tool structure, and tool failures).

2010

In order to ensure that timing constrains are met for a Real-Time Systems, a bound of the Worst-Case Execution Time (WCET) of each part of the system must be known. Current WCET computation methods are applied on whole programs which means that all the source code should be available. However, more and more, embedded software uses COTS (Components ...), often aorded only as a binary code. Partialisation is a way to solve this problem. In general, static WCET analysis uses upper bound on the number of loop iterations. oRange is our method and its associated tool which provide mainly loop bound values or equations and other ow facts information. In this article, we present how we can do partial ow analysis with oRange in order to obtain component partial results. These partial results can be used, in order to compute the ow analysis in the context of a full application. Additionally, we show that the partial analysis enables us to reduce the analysis time while introducing very little pessimism.

1997

Poznan, The maximum flow algorithm is distinguished by the long line of successive contributions researchers have made in ausanne, obtaining algorithms with ncrementally better worst-case complexity Some, but not all, of these theoretical improvements have produced improvements in practice. The purpose of this paper is to test some of the major algorithmic ideas developed in the recent years and to assess their utility on the empirical front. However, our study differs from previous studies in several ways. Whereas previous studies fcus primarily on CPU time analysis, our analysis goes further and provides naterials, detailed insight into algorithmic behavior. It not only observes how algorithms behave but also tries to explain why ,,<uences quences algorithms behave that way. We have limited our study to the best previous maximum flow algorithms and some of the and gov-I> Research recent algorithms that are likely to be efficient in practice. Our study encompasses ten maximum flow algorithms and five making, classes of networks. The augmenting path algorithms tested by us include Dinic's algorithm, the shortest augmenting path made for apable of algorithm, and the capacity-scaling algorithm. The preflow-push algorithms tested by us include Karzanov's algorithm, three apable of) :-Ant implementations of Goldberg-Tarjan's algorithm, and three versions of Ahuja-Orlin-Tarjan's excess-scaling algorithms. the past Among many findings, our study concludes that the preflow-push algorithms are substantially faster than other classes of nd of this nd of this algorithms, and the highest-label preflow-push algorithm is the fastest maximum flow algorithm for which the growth rate in structions i he editors structlons the computational time is O(n t ' 5) on four out of five of our problem classes. Further, in contrast to the results of the worst-case analysis of maximum flow algorithms, our study finds that the time to perform relabel operations (or constructing the layered networks) takes at least as much computation time as that taken by augmentations and/or pushes.

2021

Automatic maker is meant as a device to produce (or compose) things by itself, by a model, customization or a program. Nowadays the most advanced automatic makers in mass use are 3D-printers.The purpose of the paper is to present methods of generating various Olympiad tasks by using evident images of virtual automatic makers. As a perspective, production (performing) of processes is also considered (as automatic 4D-makers). Besides of the main operation: putting a pixel (voxel), the following primitives with virtual things can be involved: cutting; gluing; putting a building block; erasing a building block; copying a fragment, (for 4D-) shifting a building block. Tasks are generated naturally: to make a given thing (perform a given simple process) optimally in any sense (with respect to time; to number of primitives; to number of building blocks etc.). Such tasks are well-understood, have short formulations and are difficult to be solved even with initial data of small volume; a “br...

The NeverEngine Labs is where Cristian Vogel and Gustav Scholda are developing tools for advanced sound design and composition exclusively for the Kyma sound design environment by Symbolic Sound. The Complexity Lab was launched in July 2015. It ran for one year. We focussed on one of the most powerful areas of Kyma – the algorithmic construction of complex signal flows using Replicators, Scripts and Frames. During one year of sustained research and development, we published over 230 Kyma Sounds, source code and samples ranging from complex noise generators to advanced swarm simulations, only available exclusively to our subscribers. Totalling over 300MB of source samples, code and Kyma examples. In the Complexity Lab, we developed Kyma Sounds which demonstrated the parameterisation and mapping of algorithmically constructed signal flows, exploring how this approach can generate new and exciting sound design techniques. This document is a collection of all the descriptions you will find inline with the custom classes we created, as well as the log file that describes what we published and when, including details about the signal flow examples which are in themselves powerful starting points for your own Kyma development.

2006 27th IEEE International Real-Time Systems Symposium (RTSS'06), 2006

Static Worst-Case Execution Time (WCET) analysis is a technique to derive upper bounds for the execution times of programs. Such bounds are crucial when designing and verifying real-time systems. A key component for statically deriving safe and tight WCET bounds is information on the possible program flow through the program. Such flow information can be provided manually by user annotations, or automatically by a flow analysis. To make WCET analysis as simple and safe as possible, it should preferably be automatically derived, with no or very limited user interaction.