search for: pgas

...optimizers for sophisticated high-performance UNIX/Linux computing environments. Specific experience with LLVM and/or GCC in high-performance computing systems utilizing heavily multi-threaded RISC and/or GPGPU processor architectures highly desired. Knowledge of MPI, OpenMP, OpenCL, MapReduce, UPC/PGAS or similar desired. Experience with development in UNIX/Linux environments; knowledge of Windows and/or Mac OS X a plus. Compensation: A market competitive package, including benefits, stock options and relocation. Unfortunately we are not able to provide visa sponsorship. U.S. citizenship or u...

I'm part of a research group at MIT looking to create an extension of LLVM that inherently allows one to nicely code a parallel loop. Most parallel frameworks tend to take the body of a parallel loop and stick it inside of a function for the parallel runtime to call when appropriate. However, this makes optimizations significantly more difficult as most compiler optimizations tend to be

...is required. Familiarity with CUDA, assembly language and compiler standards is a plus. Background in high performance computing (HPC) architectures, including multiprocessors, distributed memory systems, and GPU accelerators, including working knowledge of parallel programming -- MPT, OpenMP, and PGAS languages, is highly desired. understand compiler architecture (frontend, optimizer, code generator, etc) and understanding of test harnesses and automated test systems is needed. Experience in working with large projects, or an advanced thesis in an appropriate area. Commitment to sound software e...

...ia Tech), Prasenjit Sarkar (IBM Almaden Research Center) 18. Distributed Approximate Spectral Clustering for Large-Scale Datasets, Fei Gao (Simon Fraser University), Wael Abd-Almageed (University of Maryland) 19. Exploring Cross-layer Power Management for PGAS Applications on the SCC Platform, Marc Gamell (Rutgers University), Ivan Rodero (Rutgers University), Manish Parashar (Rutgers University), Rajeev Muralidhar (Intel India) 20. Dynamic Adaptive Virtual Core Mapping to Improve Power, Energy, and Performance i...

...ia Tech), Prasenjit Sarkar (IBM Almaden Research Center) 18. Distributed Approximate Spectral Clustering for Large-Scale Datasets, Fei Gao (Simon Fraser University), Wael Abd-Almageed (University of Maryland) 19. Exploring Cross-layer Power Management for PGAS Applications on the SCC Platform, Marc Gamell (Rutgers University), Ivan Rodero (Rutgers University), Manish Parashar (Rutgers University), Rajeev Muralidhar (Intel India) 20. Dynamic Adaptive Virtual Core Mapping to Improve Power, Energy, and Performance i...

...ntax and semantics. However, as you also said, a parallel IR needs to be able to support a wide range of parallel languages, besides OpenMP. Two near-term examples I can think of are C++17 and Cilk (or Cilk++). I can imagine adding support for other existing languages like Halide and perhaps the PGAS languages like UPC. Many of the *parallel* optimizations and code-generation tasks are likely to be common for these different languages (e.g., optimizations of reductions, parallel loop fusion, or GPU code generation). Fundamentally, I think we should keep most of the parallel IR extensions as...

A Proposal for adding an experimental IR-level region-annotation infrastructure ============================================================================= Hal Finkel (ANL) and Xinmin Tian (Intel) This is a proposal for adding an experimental infrastructure to support annotating regions in LLVM IR, making use of intrinsics and metadata, and a generic analysis to allow transformations to