Automatic parallelization in Graphite - Google Sites
Recommend Documents
{molitorisz|schimmel|frank.otto}@kit.edu. Abstract. Practically all new computer systems are parallel. The minds of the majority of software engineers are not, and ...
May 24, 2012 - translated by a parallelizing APL-to-C compiler into parallelized C code, i.e. C mixed .... the interpreter on an IBM workstation (see [10]). 123 ... is a stream, where the product DÃE is assigned to C and added to B to produce A [6].
University of Illinois; it is now maintained by Apple Inc. This conversion back to compiler IR is not a necessity for the work we present in this paper; any binary ...
Aparna Kotha, Kapil Anand, Matthew Smithson, Greeshma Yellareddy and Rajeev Barua. Department of ...... M. W. Hall, M. S. Lam, and J. L. Hennessy, âSuif: an.
May 1, 2010 - A tracing JIT compiler has almost perfect information to answer (1). After collecting program traces at runtime, the JIT compiler knows which ...
IBM T. J. Watson Research Center Mobius Management Systems IBM Global Services India ... dependence of multiple recursive calls in a procedure. This.
Nov 27, 2011 - space slicing framework to extract slices described by not only affine ...... //www.eecg.toronto.edu/corinna/DSP/infrastructureUTDSP.html. 22.
prototype Java compiler that can match the performance of well- tuned Fortran ... compiler then builds a run-time test that, during execution of the program ...
types of computationally-intensive Java applications a posteriori, even when the
... at the coarse level of method invocations, by transforming a computationally-.
Today's multicore processors have been forcing application developers to par- allelize legacy sequential codes and/or write new parallel applications if they ...... Multicore software engineering, New York, NY, USA, ACM (2008) 15â22. 22.
developers who are not from software engineering discipline generally do not have to ... engineering simulation software in many fields, including automotive, ...
XQuery programs and the computing resources of multi- core computer are used efficiently. ...... his Bachelors and Master degree in computer science from.
copies bear this notice and the full citation on the first page. To copy otherwise, or ... and job splitting for spatial data parallelization, while section 5 describes how we ... utilize free storage resources on the GRID and to increase I/O bandwid
Automatic Parallelization, Embedded Software, Hierarchi- cal Task Graph, Integer ... much research has been done to develop automatic compiler techniques ...
Email: {iahmad, csricky}@cs.ust.hk, {wu, shu}@cs.buffalo.edu. Page 2. To facilitate the automation of program development, we use a programming style in ...
Faust is a programming language for real-time signal processing and synthesis designed from scratch to be a compiled language. Being efficiently compiled ...
thread-level parallelism from common heap-based data structures. ... be used to enable the parallelization of recursive algorithms [15, 8]. ... can determine the correct shape for the majority of heap based data structures even in programs.
Desktop computing remains indispensable in scientific exploration ... plicit parallel programming and parallel job execution of- ten prohibits ... top machines.
Dr. Albert Cohen for his commitment to ..... sors observing and steering the car while providing the occupants with music, video and navigation ..... SUIF: Hall et al. presented coarse-grained thread-level parallelization techniques for C and ...
Email: {tavarageri,meister,baskaran,pradelle,henretty,konstantinidis,johnson,lethin}@reservoir.com ... for automatic parallelization of sequential programs.
data-flow based runtime framework that supports the development and testing ... loops, map-reduce operations, stream programming and the Anthill framework.
on the nested loops. Kennedy and Allen KA87] proposed an algorithm based on a study of the ...... KA87] Ken Kennedy and J.R. Allen. Automatic translations of ...
Skeleton-based Automatic Parallelization of Image. Processing Algorithms for GPUs. Cedric Nugteren, Henk Corporaal, Bart Mesman. Eindhoven University of ...
transfer entire datasets on multiple disks via FedEx, a scientist should be able to .... We call the axis ordering that maps a datasource to its file a ..... the Mississippi Center for Supercomputing Research (MCSR), a. 253-node Intel cluster.
Automatic parallelization in Graphite - Google Sites
But now it does only non-parallel loop generation. My work is to detect synchronization free parallel loops and generate
Automatic parallelization in Graphite Li Feng April 3, 2009
1
Synopsis
With the integration of Graphite to GCC4.4, a strong loop nest analysis and transformation engine was introduced. But now it does only non-parallel loop generation. My work is to detect synchronization free parallel loops and generate parallel code for them, which will mainly enable programs to run faster.
2
The Project
In GCC there already exists an auto-parallelization pass, which is base on the lambda framework originally developed by Sebastian. Since Lambda framework is limited to some cases, Graphite was developed to handle the loops that lambda was not able to handle . e.g. The following code can’t be handled by autopar, which yields a scev_not_known dependency. int Z[100][100]; int main(void) { int i,j; for (i = 0; i
