![]() ![]() Immersed Boundary Simulation in Titanium Pack boundary data between procs 10X reduction in lines of code! *Somewhat more functionality in PDE part of Chombo code Comparable running time Work by Tong Wen and Philip Colella Communication optimizations joint with Jimmy Su.Titanium AMR Entirely in Titanium Finer-grained communication No explicit pack/unpack code Automated in runtime system AMR in Titanium C++/Fortran/MPI AMR Mixed global/local view is useful Titanium AMR benchmarks available AMR Titanium work by Tong Wen and Philip Colella.Irregular data accesses and control from boundaries.Adaptive Mesh Refinement (AMR) is challenging.Caveat: Titanium FT has user-defined Complex type and cross-language support used to call FFTW for serial 1D FFTs UPC results from Tarek El-Gazhawi et al CAF from Chamberlain et al Titanium joint with Kaushik Datta & Dan Bonachea.Titanium even more compact, especially for MG, which uses multi-d arrays.UPC version has modest programming effort relative to C.Array copy operations automatically work on intersection py(mydata) intersection (copied area) “restrict”-ed (non-ghost) cells ghost cells mydata data.Rich domain calculus allow for slicing, subarray, transpose and other operations without data copies.Eliminates some loop bound errors using foreach foreach (p in gridA.domain()) gridA = gridA*c + gridB.Ti Arrays created using Domains indexed using Points: double gridA = new double :].Collective Communication, IO libraries, etc.Bulk operations: memcpy in UPC, array ops in Titanium and CAF.Simple assignment statements: x = y ort = *p.Distributed arrays local and global pointers/references.Support for distributed data structures.Many common concepts, although specifics differ.Emphasis in this talk on UPC & Titanium (based on Java).3 Current languages: UPC, CAF, and Titanium.Program stacks are private x: 1 y: x: 5 y: x: 7 y: 0 Global address space l: l: l: g: g: g: p0 p1 pn.Partitioned: data is designated as local (near) or global (possibly far) programmer controls layout By default:.Global address space: any thread/process may directly read/write data allocated by another.Some surprising hints on performance tuning.PGAS Languages are Faster than two-sided MPI.High level constructs (e.g., multidimensional arrays) simplify programming.Global address space supports construction of complex shared data structures.This paper examines the performance of four UPC com-pilers: MTU MuPC, Berkeley UPC, HP UPC and Intrepid UPC.Partitioned Global Address Space Languages Kathy Yelick Lawrence Berkeley National Laboratory and UC Berkeley Joint work with The Titanium Group: S. A performance analysis of the Berkeley UPC compiler. On the conditions for efficient interoperability with threads: an experience with PGAS languages using cray communication domains On the conditions for efficient interoperability with threads: an experience with PGAS languages. MuPC, Berkeley UPC, and Intrepid UPC are open source projects. CLB (LINC) (Canadian Language Benchmark - Language Instruction for Newcomers to Canada) Canadian Citizens: LINC programs are not available., 8, 8, 8, 6 CanTEST (Canadian Test of English for Scholars and Trainees) RRC Institutional or Official CanTEST accepted EXCEPT for the Medical Laboratory Sciences (MLS) program. This section provides some details about MuPC and briey de-scribes the other compilers. upcxx-utils: Set of utilities layered over UPC++, authored by the HipMer group. Proceedings of the 17th annual international conference on Supercomputing - ICS 03, 2003. ![]() ![]() Berkeley UPC: Supports hybrid UPC/UPC++ applications. Evaluation is done using multithreaded benchmarks from different suites such. On the Conditions for Efficient Interoperability with Threads: An Experience with PGAS Languages Using Cray Communication Domains Lawrence Berkeley National Laboratory One Cyclotron Road, Berkeley, CA 94720, USA Khaled Z. We benchmarked the performance of UTS on various parallel architectures, including shared- memory systems and PC clusters. Uts: An unbalanced tree search benchmark. We found it simple to implement UTS in both UPC and OpenMP, due to UPC’s shared-memory abstractions. ![]()
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