A Context-Oriented Extension of F#

Context-Oriented programming languages provide us with primitive constructs to adapt program behaviour depending on the evolution of their operational environment, namely the context. In previous work we proposed ML_CoDa, a context-oriented language with two-components: a declarative constituent for programming the context and a functional one for computing. This paper describes the implementation of ML_CoDa as an extension of F#.Comment: In Proceedings FOCLASA 2015, arXiv:1512.0694

Proceedings of International Workshop "Global Computing: Programming Environments, Languages, Security and Analysis of Systems"

According to the IST/ FET proactive initiative on GLOBAL COMPUTING, the goal is to obtain techniques (models, frameworks, methods, algorithms) for constructing systems that are flexible, dependable, secure, robust and efficient. The dominant concerns are not those of representing and manipulating data efficiently but rather those of handling the co-ordination and interaction, security, reliability, robustness, failure modes, and control of risk of the entities in the system and the overall design, description and performance of the system itself. Completely different paradigms of computer science may have to be developed to tackle these issues effectively. The research should concentrate on systems having the following characteristics: • The systems are composed of autonomous computational entities where activity is not centrally controlled, either because global control is impossible or impractical, or because the entities are created or controlled by different owners. • The computational entities are mobile, due to the movement of the physical platforms or by movement of the entity from one platform to another. • The configuration varies over time. For instance, the system is open to the introduction of new computational entities and likewise their deletion. The behaviour of the entities may vary over time. • The systems operate with incomplete information about the environment. For instance, information becomes rapidly out of date and mobility requires information about the environment to be discovered. The ultimate goal of the research action is to provide a solid scientific foundation for the design of such systems, and to lay the groundwork for achieving effective principles for building and analysing such systems. This workshop covers the aspects related to languages and programming environments as well as analysis of systems and resources involving 9 projects (AGILE , DART, DEGAS , MIKADO, MRG, MYTHS, PEPITO, PROFUNDIS, SECURE) out of the 13 founded under the initiative. After an year from the start of the projects, the goal of the workshop is to fix the state of the art on the topics covered by the two clusters related to programming environments and analysis of systems as well as to devise strategies and new ideas to profitably continue the research effort towards the overall objective of the initiative. We acknowledge the Dipartimento di Informatica and Tlc of the University of Trento, the Comune di Rovereto, the project DEGAS for partially funding the event and the Events and Meetings Office of the University of Trento for the valuable collaboration

BPFabric: Data Plane Programmability for Software Defined Networks

In its current form, OpenFlow, the de facto implementation of SDN, separates the network’s control and data planes allowing a central controller to alter the matchaction pipeline using a limited set of fields and actions. To support new protocols, forwarding logic, telemetry, monitoring or even middlebox-like functions the currently available programmability in SDN is insufficient. In this paper, we introduce BPFabric, a platform, protocol, and language-independent architecture to centrally program and monitor the data plane. BPFabric leverages eBPF, a platform and protocol independent instruction set to define the packet processing and forwarding functionality of the data plane. We introduce a control plane API that allows data plane functions to be deployed onthe-fly, reporting events of interest and exposing network internal state. We present a raw socket and DPDK implementation of the design, the former for large-scale experimentation using environment such as Mininet and the latter for high-performance low-latency deployments. We show through examples that functions unrealisable in OpenFlow can leverage this flexibility while achieving similar or better performance to today’s static design

Abstract State Machines 1988-1998: Commented ASM Bibliography

An annotated bibliography of papers which deal with or use Abstract State Machines (ASMs), as of January 1998.Comment: Also maintained as a BibTeX file at http://www.eecs.umich.edu/gasm

Developing a distributed electronic health-record store for India

The DIGHT project is addressing the problem of building a scalable and highly available information store for the Electronic Health Records (EHRs) of the over one billion citizens of India

A functional approach to heterogeneous computing in embedded systems

Developing programs for embedded systems presents quite a challenge; not only should programs be resource efficient, as they operate under memory and timing constraints, but they should also take full advantage of the hardware to achieve maximum performance. Since performance is such a significant factor in the design of embedded systems, modern systems typically incorporate more than one kind of processing element to benefit from specialized processing capabilities. For such heterogeneous systems the challenge in developing programs is even greater.In this thesis we explore a functional approach to heterogeneous system development as a means to address many of the modularity problems that are typically found in the application of low-level imperative programming for embedded systems. In particular, we explore a staged hardware software co-design language that we name Co-Feldspar and embed in Haskell. The staged approach enables designers to build their applications from reusable components and skeletons while retaining control over much of the generated source code. Furthermore, by embedding the language in Haskell we can exploit its type classes to write not only hardware and software programs, but also generic programs with overloaded instructions and expressions. We demonstrate the usefulness of the functional approach for co-design on a cryptographic example and signal processing filters, and benchmark software and mixed hardware-software implementations. Co-Feldspar currently adopts a monadic interface, which provides an imperative functional programming style that is suitable for explicit memory management and algorithms that rely on a certain evaluation order. For algorithms that are better defined as pure functions operating on immutable values, we provide a signal and array library that extends a monadic language, like Co-Feldspar. These extensions permit a functional style of programming by composing high-level combinators. Our compiler transforms such high-level code into efficient programs with mutating code. In particular, we show how to execute an FFT safely in-place, and how to describe a FIR and IIR filter efficiently as streams. Co-Feldspar’s monadic interface is however quite invasive; not only is the burden of explicit memory management quite heavy on the user, it is also quite easy to shoot on eself in the foot. It is for these reasons that we also explore a dynamic memory management discipline that is based on regions but predictable enough to be of use for embedded systems. Specifically, this thesis introduces a program analysis which annotates values with dynamically allocated memory regions. By limiting our efforts to functional languages that target embedded software, we manage to define a region inference algorithm that is considerably simpler than traditional approaches

High-level verification flow for a high-level synthesis-based digital logic design

Abstract. High-level synthesis (HLS) is a method for generating register-transfer level (RTL) hardware description of digital logic designs from high-level languages, such as C/C++/SystemC or MATLAB. The performance and productivity benefits of HLS stem from the untimed, high abstraction level input languages. Another advantage is that the design and verification can focus on the features and high-level architecture, instead of the low-level implementation details. The goal of this thesis was to define and implement a high-level verification (HLV) flow for an HLS design written in C++. The HLV flow takes advantage of the performance and productivity of C++ as opposed to hardware description languages (HDL) and minimises the required RTL verification work. The HLV flow was implemented in the case study of the thesis. The HLS design was verified in a C++ verification environment, and Catapult Coverage was used for pre-HLS coverage closure. Post-HLS verification and coverage closure were done in Universal Verification Methodology (UVM) environment. C++ tests used in the pre-HLS coverage closure were reimplemented in UVM, to get a high initial RTL coverage without manual RTL code analysis. The pre-HLS C++ design was implemented as a predictor into the UVM testbench to verify the equivalence of C++ versus RTL and to speed up post-HLS coverage closure. Results of the case study show that the HLV flow is feasible to implement in practice. The flow shows significant performance and productivity gains of verification in the C++ domain when compared to UVM. The UVM implementation of a somewhat incomplete set of pre-HLS tests and formal exclusions resulted in an initial post-HLS coverage of 96.90%. The C++ predictor implementation was a valuable tool in post-HLS coverage closure. A total of four weeks of coverage work in pre- and post-HLS phases was required to reach 99% RTL coverage. The total time does not include the time required to build both C++ and UVM verification environments.Korkean tason verifiointivuo korkean tason synteesiin perustuvalle digitaalilogiikkasuunnitelmalle. Tiivistelmä. Korkean tason synteesi (HLS) on menetelmä, jolla generoidaan rekisterisiirtotason (RTL) laitteistokuvausta digitaalisille logiikkasuunnitelmille käyttäen korkean tason ohjelmointikieliä, kuten C-pohjaisia kieliä tai MATLAB:ia. HLS:n suorituskykyyn ja tuottavuuteen liittyvät hyödyt perustuvat ohjelmointikielien tarjoamaan korkeampaan abstraktiotasoon. HLS:ää käyttäen suunnittelu- ja varmennustyö voi keskittyä ominaisuuksiin ja korkean tason arkkitehtuuriin matalan tason yksityiskohtien sijaan. Tämän diplomityön tavoite oli määritellä ja implementoida korkean tason verifiointivuo (HLV-vuo) C++:lla kirjoitetulle HLS-suunnitelmalle. HLV-vuo hyödyntää ohjelmointikielien tarjoamaa suorituskykyä ja korkeampaa abstraktion tasoa kovonkuvauskielien sijaan ja siten minimoi RTL:n varmennukseen vaadittavaa työtä. HLV vuo implementoitiin tapaustutkimuksessa. HLS-suunnitelma varmennettiin C++ -verifiointiympäristössä, ja Catapult Coveragea käytettiin kattavuuden analysointiin. RTL-kattavuutta mitattiin universaalilla verifiointimetodologialla (UVM) tehdyssä ympäristössä. C++ varmennuksessa käytetyt testivektorit implementoitiin uudelleen UVM-ympäristössä, jotta RTL-kattavuuden lähtötaso olisi korkea ilman manuaalista RTL-analyysiä. C++-suunnitelma implementoitiin prediktorina (referenssimallina) UVM-testipenkkiin koodikattavuuden parantamiseksi. Tapaustutkimuksen tulokset osoittavat, että määritelty HLV-vuo on toteutettavissa käytännössä. Vuota käyttämällä saavutetaan merkittäviä suorituskyky- ja tuottavuusetuja C++ -testiympäristössä verrattuna UVM-ympäristöön. 90.60% koodikattavuuden saavuttavien C++ testivektoreiden uudelleenimplementoiti UVM-ympäristössä tuotti 96.90% RTL-kattavuuden. C++-predictorin implementointi oli merkittävä työkalu RTL-kattavuustavoitteen saavuttamisessa

Cloud engineering is search based software engineering too

Many of the problems posed by the migration of computation to cloud platforms can be formulated and solved using techniques associated with Search Based Software Engineering (SBSE). Much of cloud software engineering involves problems of optimisation: performance, allocation, assignment and the dynamic balancing of resources to achieve pragmatic trade-offs between many competing technical and business objectives. SBSE is concerned with the application of computational search and optimisation to solve precisely these kinds of software engineering challenges. Interest in both cloud computing and SBSE has grown rapidly in the past five years, yet there has been little work on SBSE as a means of addressing cloud computing challenges. Like many computationally demanding activities, SBSE has the potential to benefit from the cloud; ‘SBSE in the cloud’. However, this paper focuses, instead, of the ways in which SBSE can benefit cloud computing. It thus develops the theme of ‘SBSE for the cloud’, formulating cloud computing challenges in ways that can be addressed using SBSE

TechNews digests: Jan - Mar 2010

TechNews is a technology, news and analysis service aimed at anyone in the education sector keen to stay informed about technology developments, trends and issues. TechNews focuses on emerging technologies and other technology news. TechNews service : digests september 2004 till May 2010 Analysis pieces and News combined publish every 2 to 3 month