Title :
Semi-automatic restructuring of offloadable tasks for many-core accelerators
Author :
Ravi, Nishkam ; Yi Yang ; Tao Bao ; Chakradhar, Srimat
Author_Institution :
NEC Labs. America, Princeton, NJ, USA
Abstract :
Work division between the processor and accelerator is a common theme in modern heterogenous computing. Recent efforts (such as LEO and OpenAcc) provide directives that allow the developer to mark code regions in the original application from which offloadable tasks can be generated by the compiler. Auto-tuners and runtime schedulers work with the options (i.e., offloadable tasks) generated at compile time, which is limited by the directives specified by the developer. There is no provision for offload restructuring.
Keywords :
multiprocessing systems; parallel architectures; parallel languages; processor scheduling; program compilers; CPU; EOC; Intel Xeon Phi architecture; LEO; MIC architecture; NAS parallel benchmarks; SpecOMP; accelerator memory; auto-tuners; code regions; directive-based languages; elastic offload compiler; heterogeneous computing; language extensions for offload; many-core accelerators; offloadable tasks; parallel loop; processor; relaxed semantics; runtime schedulers; semiautomatic restructuring; sub-offload; super-offload; Coprocessors; Data transfer; Indexes; Low earth orbit satellites; Microwave integrated circuits; Runtime; Semantics;
Conference_Titel :
High Performance Computing, Networking, Storage and Analysis (SC), 2013 International Conference for
Conference_Location :
Denver, CO
Print_ISBN :
978-1-4503-2378-9
DOI :
10.1145/2503210.2503285
