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8,159
The nas parallel benchmarks
- The International Journal of Supercomputer Applications
, 1991
"... A new set of benchmarks has been developed for the performance evaluation of highly parallel supercomputers. These benchmarks consist of ve \parallel kernel " benchmarks and three \simulated application" benchmarks. Together they mimic the computation and data movement characterist ..."
Abstract
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Cited by 694 (9 self)
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characteristics of large scale computational uid dynamics applications. The principal distinguishing feature of these benchmarks is their \pencil and paper " speci cation | all details of these benchmarks are speci ed only algorithmically. In this way many of the di culties associated with conventional
The PARSEC benchmark suite: Characterization and architectural implications
- IN PRINCETON UNIVERSITY
, 2008
"... This paper presents and characterizes the Princeton Application Repository for Shared-Memory Computers (PARSEC), a benchmark suite for studies of Chip-Multiprocessors (CMPs). Previous available benchmarks for multiprocessors have focused on high-performance computing applications and used a limited ..."
Abstract
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Cited by 518 (4 self)
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number of synchronization methods. PARSEC includes emerging applications in recognition, mining and synthesis (RMS) as well as systems applications which mimic large-scale multithreaded commercial programs. Our characterization shows that the benchmark suite covers a wide spectrum of working sets
Benchmarking Least Squares Support Vector Machine Classifiers
- NEURAL PROCESSING LETTERS
, 2001
"... In Support Vector Machines (SVMs), the solution of the classification problem is characterized by a (convex) quadratic programming (QP) problem. In a modified version of SVMs, called Least Squares SVM classifiers (LS-SVMs), a least squares cost function is proposed so as to obtain a linear set of eq ..."
Abstract
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Cited by 476 (46 self)
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of equations in the dual space. While the SVM classifier has a large margin interpretation, the LS-SVM formulation is related in this paper to a ridge regression approach for classification with binary targets and to Fisher's linear discriminant analysis in the feature space. Multiclass categorization
A density-based algorithm for discovering clusters in large spatial databases with noise
, 1996
"... Clustering algorithms are attractive for the task of class identification in spatial databases. However, the application to large spatial databases rises the following requirements for clustering algorithms: minimal requirements of domain knowledge to determine the input parameters, discovery of clu ..."
Abstract
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Cited by 1786 (70 self)
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Clustering algorithms are attractive for the task of class identification in spatial databases. However, the application to large spatial databases rises the following requirements for clustering algorithms: minimal requirements of domain knowledge to determine the input parameters, discovery
A Large Benchmark Dataset for Web Document Clustering
- Soft Computing Systems: Design, Management and Applications, Volume 87 of Frontiers in Artificial Intelligence and Applications
, 2002
"... Targeting useful and relevant information on the WWW is a topical and highly complicated research area. A thriving research effort that feeds into this area is document clustering, which overlaps closely with areas usually known as text classification and text categorisation. A foundational aspect o ..."
Abstract
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Cited by 31 (1 self)
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of such research (which has been proven over and over again in other research disciplines) is the use of standard datasets, against which different techniques can be properly benchmarked andassessedincomparisontoeachother. Wenotehereinthat,sofarinthisbroad area of research, as many datasets have been used
Fast Effective Rule Induction
, 1995
"... Many existing rule learning systems are computationally expensive on large noisy datasets. In this paper we evaluate the recently-proposed rule learning algorithm IREP on a large and diverse collection of benchmark problems. We show that while IREP is extremely efficient, it frequently gives error r ..."
Abstract
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Cited by 1274 (21 self)
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Many existing rule learning systems are computationally expensive on large noisy datasets. In this paper we evaluate the recently-proposed rule learning algorithm IREP on a large and diverse collection of benchmark problems. We show that while IREP is extremely efficient, it frequently gives error
The Google File System
- ACM SIGOPS OPERATING SYSTEMS REVIEW
, 2003
"... We have designed and implemented the Google File System, a scalable distributed file system for large distributed data-intensive applications. It provides fault tolerance while running on inexpensive commodity hardware, and it delivers high aggregate performance to a large number of clients. While s ..."
Abstract
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Cited by 1501 (3 self)
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We have designed and implemented the Google File System, a scalable distributed file system for large distributed data-intensive applications. It provides fault tolerance while running on inexpensive commodity hardware, and it delivers high aggregate performance to a large number of clients. While
Muscle: multiple sequence alignment with high accuracy and high throughput
- NUCLEIC ACIDS RES
, 2004
"... We describe MUSCLE, a new computer program for creating multiple alignments of protein sequences. Elements of the algorithm include fast distance estimation using kmer counting, progressive alignment using a new profile function we call the logexpectation score, and refinement using tree-dependent r ..."
Abstract
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Cited by 2509 (7 self)
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-dependent restricted partitioning. The speed and accuracy of MUSCLE are compared with T-Coffee, MAFFT and CLUSTALW on four test sets of reference alignments: BAliBASE, SABmark, SMART and a new benchmark, PREFAB. MUSCLE achieves the highest, or joint highest, rank in accuracy on each of these sets. Without refinement
The SGI Origin: A ccNUMA highly scalable server
- In Proceedings of the 24th International Symposium on Computer Architecture (ISCA’97
, 1997
"... The SGI Origin 2000 is a cache-coherent non-uniform memory access (ccNUMA) multiprocessor designed and manufactured by Silicon Graphics, Inc. The Origin system was designed from the ground up as a multiprocessor capable of scaling to both small and large processor counts without any bandwidth, laten ..."
Abstract
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Cited by 497 (0 self)
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The SGI Origin 2000 is a cache-coherent non-uniform memory access (ccNUMA) multiprocessor designed and manufactured by Silicon Graphics, Inc. The Origin system was designed from the ground up as a multiprocessor capable of scaling to both small and large processor counts without any bandwidth
MAFFT version 5: improvement in accuracy of multiple sequence alignment
- NUCLEIC ACIDS RES
, 2005
"... The accuracy of multiple sequence alignment pro-gram MAFFT has been improved. The new version (5.3) of MAFFT offers new iterative refinement options, H-INS-i, F-INS-i and G-INS-i, in which pairwise alignment information are incorporated into objective function. These new options of MAFFT showed high ..."
Abstract
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Cited by 801 (5 self)
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higher accuracy than currently available methods including TCoffee version 2 and CLUSTAL W in benchmark tests consisting of alignments of.50 sequences. Like the previously available options, the new options of MAFFT can handle hundreds of sequences on a standard desktop computer. We also examined
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