SAVE project produces prototyped technologies
The SAVE project, which challenged a team of engineers and researchers to explore how complex hardware systems can more efficiently execute data intensive applications, comes to a close this week. Funded by the European Union, SAVE has led to a number of innovations in hardware, software and Operating System (OS) components.
When integrated together, they can reduce application deployment costs and maximize usage of heterogeneous system computing units, resulting in energy efficiency being improved by up to 20%. A range of complex electronic systems stands to benefit from these innovations, including computer data centers, consumer electronics, automotive products and complex industrial electronics.
The computing units can be on chip, for example Central Processing Units (CPUs) ranging from small and low-power to high-end and efficient, Graphics Processing Units (GPUs), and dedicated accelerators. Alternatively, the units can be off chip, such as racks of dedicated accelerators or Fieldprogrammable Gate Arrays (FPGAs).
The prototyped technologies will enable performance and energy-efficiency gains in Highperformance Computing (HPC) and embedded heterogeneous systems.
Key achievements include:
- platform behavior monitoring and task dispatching hardware and software: the first toolset closely tracks the performance and use rate of the various computing units available in the heterogeneous systems. The second toolset decides which computing units are best suited for the job.
- Just-in-Time compilation technology: using SAVE technologies, at runtime, a single application-code representation is optimized to the many possible hardware targets of the platform: CPUs, GPUs, accelerators, FPGAs.
- hardware and software virtualization technologies: these technologies efficiently expose the dedicated processing engines to the many Virtual Machines (VM) running on these systems. The teams successfully prototyped virtualization GPUs, virtualization FPGA-based Data-Flow Engines (DFEs), and virtualization application-specific accelerators.
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