Design and implementation of tool-chain framework to support OpenMP single source compilation on cell platform

The well-known performance and power bottlenecks in traditional architecture design, in conjunction with the sustained demand for high performance in real world applications, stimulated the creation of new designs that utilize multi-cores in one processor. There are two approaches in multi-core design: homogeneous and heterogeneous. The homogeneous design is based on the replication of simple cores. It is easier for developers to port existing applications to this kind of platform. However, great diversity exists among applications and a homogeneous multi-core chip cannot be optimal for heterogeneous workloads. Therefore, more and more multi-core designs tend to utilize heterogeneous cores and specialized accelerators. The Cell Broadband Engine (CBE) [1, 2] is a representative. Every Cell processor integrates one Power Processing Engine(PPE) core and eight Synergistic Processing Engines (SPE). A PPE core has a traditional memory and cache hierarchy and it accesses memory via caching mechanism. On the other hand, each SPE core only has 256K local storage and accesses its own local storage directly. All data exchange between the SPUs and shared system memory is via high-latency DMA operation. Therefore, this architecture presents great challenges to programmers who want to utilize parallelism: (1) Threads running on PPE are far different from the ones on SPEs, both in capability and ISAs. The users have to take care of programming threads in each ISA, as well as their cooperation and synchronization. (2) The SPE local storage is so limited that SPE code or data may have to be partitioned into overlay sections. Given the explicit memory hierarchy, it is necessary for the programmers to issue DMA instructions at the appropriate time and transfer