SODALITE Deployment Refactoring

Deployment refactoring capability can detect the violations in the application performance objectives/ SLAs based on runtime monitoring data, and refactor the current deployment of an application to maintain or improve performance objectives.

SODALITE Semantic Reasoner

This innovation provides the semantic repository that will host the models (ontologies) for modeling abstract and target resource types, resource patterns, deployment patterns, dependencies, inconsistencies, etc.

SODALITE Monitoring Tools

The Monitoring Tools is a set of components responsible for monitoring infrastructure and applications deployed using the SODALITE Orchestrator, supporting deployments on OpenStack, HPC (Torque) and Kubernetes.

SODALITE Lightweight Orchestrator

This SODALITE tool is a lightweight orchestrator compliant with OASIS TOSCA. The current compliance is with the TOSCA Simple Profile in YAML v1.3. It is currently focusing on higher-level IaC management platforms like, e.g., Ansible.

Tornado

Tornado is a practical heterogeneous programming framework for Java, Tornado enables automatic Just-In-Time (JIT) compilation and acceleration of Java programs on any OpenCL compatible device, such as multi-core CPUs, GPUs and FPGAs.

OMP Superscalar

OmpSs is an effort to integrate features from the StarSs programming model developed at BSC into a single programming model.

COMP Superscalar

The COMP Superscalar (COMPSs) framework is mainly compose of a programming model which aims to ease the development of applications for distributed infrastructures, such as Clusters, Grids and Clouds and a runtime system that exploits the inherent parallelism of applications at execution time.

Vinetalk: The missing piece for cluster managers to enable accelerator sharing

FPGA and GPU based accelerators have recently become first class citizens
in datacenters. Despite their high cost, however, accelerators remain
underutilized for large periods of time, as vendors prefer to dedicate them

Self-Adaptation Manager

The Self-Adaptation manager is responsible for co-ordinating the adaptive behaviour of the TANGO architecture. The main aim of this adaptation is provide low power and energy usage while maintaining quality of service aspects of applications.

Energy Modeller

The Energy Modeller forecasts future application and host power consumption, as well as reporting current and historic energy usage.

Code Profiler Plugin

A tool for analysing Java code for its energy efficiency.

Source to source compiler

Compiler to analyze source code OpenMP parallelism annotations, extracting the required information to allow for efficient and predictable mapping and scheduling of parallel computations

Lightweight OpenMP tasking runtime

A small-footprint implementation of the tasking model of the latest OpenMP specification, which uses the information extracted by the compiler to map OpenMP tasks to operating systems threads

ERIKA 3

Embedded Many-Core Operating System – a small kernel implementation which efficiently handles parallel threads in manycore

Analyser

An integrated toolset for the timing and schedulability analysis of real-time parallel applications

Monitoring Infrastructure

The Monitoring Infrastructure monitors the heterogeneous resources to provide metrics (power consumption, temperature, utilization) about the status of the different devices and also historical statistics of these metrics.

Application Lifecycle Development Engine (ALDE)

ALDE is responsible for the workload scheduling and the management of the application life-cycle while it is executed.