The AXIOM Project: IoT on Heterogeneous Embedded Platforms

Filgueras, Antonio; Vidal, Miquel; Mateu, Marc; Jiménez-González, Daniel; Álvarez, Carlos; Martorell, Xavier; Ayguadé, Eduard; Theodoropoulos, Dimitrios; Pnevmatikatos, Dionisios; Gai, Paolo; Garzarella, Stefano; Oro, David; Hernando, Javier; Bettin, Nicola; Pomella, Alberto; Procaccini, Marco; Giorgi, Roberto

doi:10.1109/mdat.2019.2952335

Cited by 7 publications

(2 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…One of them is the analysis of an image stream in real-time, which could benefit from the new FPGA capabilities. The implementation is based on a previous port to OmpSs@FPGA developed in AXIOM project [5]. The application periodically analyzes a frame buffer with 2 sets of filters implemented with FPGA tasks.…”

Section: Face Detectionmentioning

confidence: 99%

Task-Based Programming Models for Heterogeneous Recurrent Workloads

Bosch

Vidal

Filgueras

et al. 2021

Applied Reconfigurable Computing. Architectures, Tools, and Applications

Self Cite

View full text Add to dashboard Cite

This paper proposes the extension of task-based programming models with recurrent workloads concepts. The proposal introduces new clauses in the OmpSs task directive to efficiently model recurrent workloads. The clauses define the task period and/or the number of task body repetitions. Despite the new clauses are suitable for any device, their support has been implemented using the capabilities of FPGA devices in embedded systems. These heterogeneous systems are common in industrial applications that usually develop recurrent workloads. The evaluation shows a huge gap in the applications' programmability, saving lines of code, and increasing the code readability. Besides, it shows the efficient management of recurrent tasks when performed in FPGA devices, which can support one order of magnitude finer tasks. All these improvements perfectly suit the needs of cyber-physical heterogeneous systems, which are frequently used in industrial environments to run recurrent workloads.

show abstract

Section: Face Detectionmentioning

confidence: 99%

Task-Based Programming Models for Heterogeneous Recurrent Workloads

Bosch

Vidal

Filgueras

et al. 2021

Applied Reconfigurable Computing. Architectures, Tools, and Applications

Self Cite

View full text Add to dashboard Cite

show abstract

“…The implementation used in this evaluation is based on Local Binary Patterns (LBP) [74], which searches local patterns in the picture and allows discarding regions very fast. The baseline implementation with OmpSs tasks was developed in the context of the AXIOM project [75] by one of the project partners. The implemented algorithm is iterative and realizes up to 1000 filters to each pixel.…”

Section: Face Detectionmentioning

confidence: 99%

Breaking host-centric management of task-based parallel programming models

Pons¹

View full text Add to dashboard Cite

Heterogeneous platforms had become popular to increase the computational power of the systems within a constrained power budget. They are present in several systems, from embedded platforms and mobile devices to high-end servers and clusters. However, the co-processors are managed following a master-slave model where the general-purpose CPU drives the rest of elements. This management limits the system possibilities as not all application parts are suitable to be executed in an accelerator. This thesis presents different proposals to enhance the usage of co-processors in task-based parallel programming models, which are a powerful tool to easily program applications for heterogeneous platforms. The first proposal enhances the task-based systems with an asynchronous, concurrent, and parameterizable behavior. The improvements go across the full-stack, from the programming model level down to the low-level communications used between the libraries and the co-processors. The evaluation shows that the implemented improvements boost the applications' performance as they can be easily tuned for the running platform. The second proposal adds support for task spawn and synchronization in co-processors. The offloaded tasks can create child tasks that target other architectures or remain inside the co-processor. This allows the programmers to implement applications easily and effectively. The evaluation shows the efficiency of the proposal implementation in terms of latency and power consumption. The results show that applications can increase their performance and optimize their power consumption just moving the task spawn from the host threads to the co-processor. This is thanks to the low-latency task management inside the co-processors, which also reduces the communications between the host and the co-processor. The third proposal extends task-based programming models with concepts of recurrent workloads. The regular task syntax has been extended with new clauses to label the recurrent tasks and provide the needed information to the runtime. The evaluation shows an application programmability increase thanks to the new syntax, which allows the specification of recurrent systems with much less code and better accuracy. Also, the direct management of task repetitions and periods in the co-processors allows an almost zero-latency management that is able to manage any task granularity. Els sistemes heterogenis s'han popularitzat, ja que permeten incrementar la potència de càlcul sense implicar un augment del consum energètic. Aquests sistemes van des de plataformes encastades i dispositius mòbils, fins a servidors i clústers d'altes prestacions. En tots ells, la gestió dels coprocessadors segueix el patró primari-secundari on la unitat de còmput general (CPU, per les seves sigles en anglès) dirigeix la resta d'elements. Aquesta gestió limita les possibilitats dels sistemes i limita les parts de les aplicacions que poden ser executades en els acceleradors. Aquesta tesi presenta diferents propostes per millorar l'ús dels coprocessadors dins dels models de programació paral·lels basats en tasques. Aquests models de programació són una eina molt potent que permet programar fàcilment aplicacions pels sistemes heterogenis. La primera proposta millora els models de programació basats en tasques mitjançant aproximacions asíncrones, concurrents i parametritzables. Les millores són a tots els nivells, des del model de programació fins a les comunicacions a baix nivell entre les llibreries i els coprocessadors. Els resultats de l'avaluació mostren que les millores augmenten el rendiment de les aplicacions perquè permeten adaptar-les fàcilment a les plataformes d'execució. La segona proposta afegeix suport per la creació de tasques i la seva sincronització dins dels coprocessadors. Les tasques enviades als coprocessadors poden crear tasques filles pel mateix coprocessador o per altres elements del sistema. Això flexibilitza i facilita la programació d'aplicacions. L'avaluació mostra l'eficiència de la proposta respecte a la latència i el consum d'energia. Els resultats revelen que les aplicacions poden incrementar el seu rendiment i optimitzar el seu consum energètic creant les tasques directament a dins dels coprocessadors. La millora es deu a la baixa latència de la gestió de tasques dins dels coprocessadors que també suposa una reducció de les comunicacions entre la CPU i el coprocessador. La tercera proposta amplia les capacitats dels models de programació basats en tasques introduint conceptes de sistemes recurrents. La sintaxi bàsica d'una tasca s'amplia amb noves clàusules per distingir les recurrents i proporcionar al runtime la informació necessària. L'avaluació de la proposta mosta una millora en la programabilitat de les aplicacions gràcies a la nova sintaxi. Aquesta permet la creació de sistemes recurrents amb menys codi i amb una precisió major. La gestió directa de les repeticions i períodes de les tasques recurrents dins dels coprocessadors resulta en una latència mínima que permet qualsevol granularitat de tasques.

show abstract