The 2PARMA project focuses on the definition of suitable parallel programming models, instruction set virtualisation, run-time energy/power and resource management policies and mechanisms as well as design space exploration methodologies for Many-core Computing Fabrics.
The research objectives of the project are intended to meet some of the main challenges in parallel computing systems:

• To improve performance by providing software programmability techniques to exploit the hardware parallelism.
• To explore power/performance tradeoffs and to provide runtime resource management and optimization.
• To improve system reliability in terms of lifetime and yield of hardware components by providing transparent resource reconfiguration and instruction set virtualization.
• To increase the productivity of the process of developing parallel software by using semi-automatic parallelism extraction techniques and extending the OpenCL programming paradigm for parallel computing systems.

The project aims at achieving its goals in a range of ways: by driving the evolution of programming language standards to support Many-core Computing Fabrics through the adoption of Component-Based design methodologies, as well as maintaining compatibility with existing software stacks; by introducing fine grained runtime resource management to drive system evolution according to the workload evolution; by providing a system-wide runtime management of the resources acting at the operating system level; supporting system evolution through dynamic compilation techniques, which will also be employed to provide instruction set virtualisation; and by providing effective operation points and supporting rapid customisation through design space exploration.