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HONEI provides all necessary infrastructure for development and evaluation of such kernels, significantly simplifying their development.Program summary\nProgram title: HONEI\nCatalogue identifier: AEDW_v1_0\nProgram summary URL: http://cpc.cs.qub.ac.uk/summaries/AEDW_v1_0.html\nProgram obtainable from: CPC Program Library, Queen's University, Belfast, N. Ireland\nLicensing provisions: GPLv2\nNo. of lines in distributed program, including test data, etc.: 216[thin space]180\nNo. of bytes in distributed program, including test data, etc.: 1[thin space]270[thin space]140\nDistribution format: tar.gz\nProgramming language: C++\nComputer: x86, x86_64, NVIDIA CUDA GPUs, Cell blades and PlayStation 3\nOperating system: Linux\nRAM: at least 500 MB free\nClassification: 4.8, 4.3, 6.1\nExternal routines: SSE: none; [1] for GPU, [2] for Cell backend\nNature of problem: Computational science in general and numerical simulation in particular have reached a turning point. 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There are some lucky cases, like tridiagonal matrices (see Figure 8.2), where it is possible to follow a very regular memory access pattern and, thus, reduce all the problems listed above. In this case, the O(n) term is not negligible since nnz  ~ 3n. However, when implementing an algorithm like the Preconditioned Conjugate Gradient (PCG), it is possible to group operations in order to reuse the data that has been fetched into the SPEs local memories, which increases the ratio between floating point operations and data movement. Based on this approach, we developed a version of the PCG algorithm, with Jacobi preconditioner, for tri-diagonal matrices capable of running at around 6.6 Gflop/s.

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"name": "Iterative solvers on CBE (PS3)", "links": { "alternate": { "href": "https://www.zotero.org/groups/iterative_solvers_on_cbe_ps3", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/16709/items/WADA46PA", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/iterative_solvers_on_cbe_ps3/items/WADA46PA", "type": "text/html" } }, "meta": { "createdByUser": { "id": 48412, "username": "olegus", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/olegus", "type": "text/html" } } }, "creatorSummary": "Li et al.", "parsedDate": "2008", "numChildren": 1 }, "data": { "key": "WADA46PA", "version": 1, "itemType": "webpage", "title": "CG-Cell: An NPB Benchmark Implementation on Cell Broadband Engine", "creators": [ { "creatorType": "author", "firstName": "Dong", "lastName": "Li" }, { "creatorType": "author", "firstName": "Song", "lastName": "Huang" }, { "creatorType": "author", "firstName": "Kirk", "lastName": "Cameron" } ], "abstractNote": "The NAS Conjugate Gradient (CG) benchmark is an important scientific kernel used to evaluate machine performance and compare\ncharacteristics of different programming models. CG represents a computation and communication paradigm for sparse linear\nalgebra, which is common in scientific fields. In this paper, we present the porting, performance optimization and evaluation\nof CG on Cell Broadband Engine (CBE). CBE, a heterogeneous multi-core processor with SIMD accelerators, is gaining attention\nand being deployed on supercomputers and high-end server architectures. We take advantages of CBE’s particular architecture\nto optimize the performance of CG. We also quantify these optimizations and assess their impact. In addition, by exploring\ndistributed nature of CBE, we present trade-off between parallelization and serialization, and Cell-specific data scheduling\nin its memory hierarchy. Our final result shows that the CG-Cell can achieve more than 4 times speedup over the performance\nof single comparable PowerPC Processor.", "websiteTitle": "Distributed Computing and Networking", "websiteType": "", "date": "2008", "publisher": "", "place": "", "DOI": "", "citationKey": "", "url": "http://dx.doi.org/10.1007/978-3-540-77444-0_25", "accessDate": "", "shortTitle": "", "language": "", "rights": "", "extra": "", "tags": [], "collections": [ "IFFMN2NQ" ], "relations": {}, "dateAdded": "2010-04-25T08:28:17Z", "dateModified": "2010-04-25T08:28:17Z" } }, { "key": "M2TTRTZ4", "version": 1, "library": { "type": "group", "id": 16709, "name": "Iterative solvers on CBE (PS3)", "links": { "alternate": { "href": "https://www.zotero.org/groups/iterative_solvers_on_cbe_ps3", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/16709/items/M2TTRTZ4", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/iterative_solvers_on_cbe_ps3/items/M2TTRTZ4", "type": "text/html" } }, "meta": { "createdByUser": { "id": 48412, "username": "olegus", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/olegus", "type": "text/html" } } }, "creatorSummary": "Buttari et al.", "numChildren": 1 }, "data": { "key": "M2TTRTZ4", "version": 1, "itemType": "report", "title": "A Rough Guide to Scientific Computing On the PlayStation 3", "creators": [ { "creatorType": "author", "firstName": "Alfredo", "lastName": "Buttari" }, { "creatorType": "author", "firstName": "Piotr", "lastName": "Luszczek" }, { "creatorType": "author", "firstName": "Jacub", "lastName": "Kurzak" }, { "creatorType": "author", "firstName": "Jack", "lastName": "Dongarra" }, { "creatorType": "author", "firstName": "George", "lastName": "Bosilca" } ], "abstractNote": "", "reportNumber": "", "reportType": "", "institution": "University of Tennessee Knoxville", "place": "", "date": "", "seriesTitle": "", "seriesNumber": "", "pages": "77", "DOI": "", "ISBN": "", "citationKey": "", "url": "http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.127.7978&rep=rep1&type=pdf", "accessDate": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [ "IFFMN2NQ" ], "relations": {}, "dateAdded": "2010-04-25T08:28:17Z", "dateModified": "2010-04-25T08:28:17Z" } } ]