Programming Language Approaches Research Articles

Proceedings 15th Workshop on Programming Language Approaches to Concurrency and Communication-cEntric Software

Proceedings 15th Workshop on Programming Language Approaches to Concurrency and Communication-cEntric Software

Proceedings 15th Workshop on Programming Language Approaches to Concurrency and Communication-cEntric Software

Proceedings 15th Workshop on Programming Language Approaches to Concurrency and Communication-cEntric Software

Proceedings 14th Workshop on Programming Language Approaches to Concurrency and Communication-cEntric Software

Proceedings 14th Workshop on Programming Language Approaches to Concurrency and Communication-cEntric Software

Proceedings 14th Workshop on Programming Language Approaches to Concurrency and Communication-cEntric Software

Proceedings 14th Workshop on Programming Language Approaches to Concurrency and Communication-cEntric Software

Parametric and Visual Programming BIM Applied to Museums, Linking Container and Content

In recent years we have been experiencing an ever-increasing number of Building Modeling Modeling (BIM) and Visual Programming Language (VPL) approaches in the architectural design field. These experiments have inspired new research strictly focused on exploring values, criticalities, and the advantages of applying these combined methodologies in the Cultural Heritage domain. This integrated approach has emphasized the benefits derived from HBIM. The next step is to critically evaluate the application of BIM and VPL processes used in the management and valorisation of museum heritage, pursuing both parametric and algorithmic approaches. The research group worked on building a model that shared the BIM hierarchical structure and the flexibility of the VPL methodologies. Semi-automatic procedures were developed within a rigorous BIM workflow, with the help of Autodesk and McNeel tools, to show and manage complex museum management phenomena. These procedures aimed to respond to three different objectives. First, the need to associate information from the Facility Report to the individual BIM components to predict and monitor the conditions in which museum collections are found. Second, the intention to measure the attractiveness of the artifacts within the exhibition project and the design effects for a correct prefiguration of visitor flows. Third, the elements involved included the exhibition area obtained from an HBIM model (converted into a visual field through interoperable processes), the digitized collections (the attractive elements), the users and, finally, the numerical evaluation of the visibility of specific objects within collections by simulating the human point of view. Once automated, the devised procedures can be considered a prototype to support curators in controlling and improving the efficiency of the exhibition layout.

Proceedings of the 13th International Workshop on Programming Language Approaches to Concurrency and Communication-cEntric Software

Proceedings of the 13th International Workshop on Programming Language Approaches to Concurrency and Communication-cEntric Software

HorseIR: bringing array programming languages together with database query processing

Relational database management systems (RDBMS) are operationally similar to a dynamic language processor. They take SQL queries as input, dynamically generate an optimized execution plan, and then execute it. In recent decades, the emergence of in-memory databases with columnar storage, which use array-like storage structures, has shifted the focus on optimizations from the traditional I/O bottleneck to CPU and memory. However, database research so far has primarily focused on CPU cache optimizations. The similarity in the computational characteristics of such database workloads and array programming language optimizations are largely unexplored. We believe that these database implementations can benefit from merging database optimizations with dynamic array-based programming language approaches. Therefore, in this paper, we propose a novel approach to optimize database query execution using a new array-based intermediate representation, HorseIR, that resides between database queries and compiled code. Furthermore, we provide a translator to generate HorseIR from database execution plans and a compiler that optimizes HorseIR and generates efficient code. We compare HorseIR with the MonetDB RDBMS, by testing standard SQL queries, and show how our approach and compiler optimizations improve the runtime of complex queries.

Proceedings of the 12th International Workshop on Programming Language Approaches to Concurrency- and Communication-cEntric Software

Proceedings of the 12th International Workshop on Programming Language Approaches to Concurrency- and Communication-cEntric Software

Proceedings Programming Language Approaches to Concurrency- and Communication-cEntric Software

Proceedings Programming Language Approaches to Concurrency- and Communication-cEntric Software

Just-In-Time GPU Compilation for Interpreted Languages with Partial Evaluation

Computer systems are increasingly featuring powerful parallel devices with the advent of many-core CPUs and GPUs. This offers the opportunity to solve computationally-intensive problems at a fraction of the time traditional CPUs need. However, exploiting heterogeneous hardware requires the use of low-level programming language approaches such as OpenCL, which is incredibly challenging, even for advanced programmers. On the application side, interpreted dynamic languages are increasingly becoming popular in many domains due to their simplicity, expressiveness and flexibility. However, this creates a wide gap between the high-level abstractions offered to programmers and the low-level hardware-specific interface. Currently, programmers must rely on high performance libraries or they are forced to write parts of their application in a low-level language like OpenCL. Ideally, nonexpert programmers should be able to exploit heterogeneous hardware directly from their interpreted dynamic languages. In this paper, we present a technique to transparently and automatically offload computations from interpreted dynamic languages to heterogeneous devices. Using just-in-time compilation, we automatically generate OpenCL code at runtime which is specialized to the actual observed data types using profiling information. We demonstrate our technique using R, which is a popular interpreted dynamic language predominately used in big data analytic. Our experimental results show the execution on a GPU yields speedups of over 150x compared to the sequential FastR implementation and the obtained performance is competitive with manually written GPU code. We also show that when taking into account start-up time, large speedups are achievable, even when the applications run for as little as a few seconds.

Proceedings Tenth Workshop on Programming Language Approaches to Concurrency- and Communication-cEntric Software

Proceedings Tenth Workshop on Programming Language Approaches to Concurrency- and Communication-cEntric Software

Proceedings Tenth Workshop on Programming Language Approaches to Concurrency- and Communication-cEntric Software

Proceedings Tenth Workshop on Programming Language Approaches to Concurrency- and Communication-cEntric Software

Proceedings Tenth Workshop on Programming Language Approaches to Concurrency- and Communication-cEntric Software

Proceedings Tenth Workshop on Programming Language Approaches to Concurrency- and Communication-cEntric Software

Proceedings of the Ninth workshop on Programming Language Approaches to Concurrency- and Communication-cEntric Software

Proceedings of the Ninth workshop on Programming Language Approaches to Concurrency- and Communication-cEntric Software

Proceedings Eighth International Workshop on Programming Language Approaches to Concurrency- and Communication-cEntric Software

Proceedings Eighth International Workshop on Programming Language Approaches to Concurrency- and Communication-cEntric Software

Proceedings 7th Workshop on Programming Language Approaches to Concurrency and Communication-cEntric Software

Proceedings 7th Workshop on Programming Language Approaches to Concurrency and Communication-cEntric Software

Proceedings 5th Workshop on Programming Language Approaches to Concurrency and Communication-cEntric Software

Proceedings 5th Workshop on Programming Language Approaches to Concurrency and Communication-cEntric Software

Proceedings Fifth Workshop on Programming Language Approaches to Concurrency- and Communication-cEntric Software

Proceedings Fifth Workshop on Programming Language Approaches to Concurrency- and Communication-cEntric Software

Towards architecture-based management of platforms in the cloud

System management is becoming increasingly complex and brings high costs, especially with the advent of cloud computing. Cloud computing involves numerous platforms often of virtual machines (VMs) and middleware has to be managed to make the whole system work cost-effectively after an application is deployed. In order to reduce management costs, in particular for the manual activities, many computer programs have been developed remove or reduce the complexity and difficulty of system mamnagement. These programs are usually hard-coded in languages like Java and C++, which bring enough capability and flexibility but also cause high programming effort and cost. This paper proposes an architecture for developing management programs in a simple but powerful way. First of all, the manageability of a given platform (via APIs, configuration files, and scripts) is abstracted as a runtime model of the platform’s software architecture, which can automatically and immediately propagate any observable runtime changes of the target platforms to the corresponding architecture models, and vice versa. The management programs are developed using modeling languages, instead of those relatively low-level programming languages. Architecture-level management programs bring many advantages related to performance, interoperability, reusability, and simplicity. An experiment on a real-world cloud deployment and comparisonwith traditional programming language approaches demonstrate the feasibility, effectiveness, and benefits of the new model based approach for management program development.

Proceedings Third Workshop on Programming Language Approaches to Concurrency and communication-cEntric Software

Proceedings Third Workshop on Programming Language Approaches to Concurrency and communication-cEntric Software