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» The Kernel Least-Mean-Square Algorithm
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FPGA
2005
ACM
195views FPGA» more  FPGA 2005»
15 years 3 months ago
Sparse Matrix-Vector multiplication on FPGAs
Floating-point Sparse Matrix-Vector Multiplication (SpMXV) is a key computational kernel in scientific and engineering applications. The poor data locality of sparse matrices sig...
Ling Zhuo, Viktor K. Prasanna
SIGMOD
2008
ACM
144views Database» more  SIGMOD 2008»
15 years 9 months ago
Mining significant graph patterns by leap search
With ever-increasing amounts of graph data from disparate sources, there has been a strong need for exploiting significant graph patterns with user-specified objective functions. ...
Xifeng Yan, Hong Cheng, Jiawei Han, Philip S. Yu
155
Voted
SIGMOD
2007
ACM
145views Database» more  SIGMOD 2007»
15 years 9 months ago
Why off-the-shelf RDBMSs are better at XPath than you might expect
To compensate for the inherent impedance mismatch between the relational data model (tables of tuples) and XML (ordered, unranked trees), tree join algorithms have become the prev...
Torsten Grust, Jan Rittinger, Jens Teubner
PPOPP
2010
ACM
15 years 7 months ago
Scaling LAPACK panel operations using parallel cache assignment
In LAPACK many matrix operations are cast as block algorithms which iteratively process a panel using an unblocked algorithm and then update a remainder matrix using the high perf...
Anthony M. Castaldo, R. Clint Whaley
ICS
2009
Tsinghua U.
15 years 4 months ago
MPI-aware compiler optimizations for improving communication-computation overlap
Several existing compiler transformations can help improve communication-computation overlap in MPI applications. However, traditional compilers treat calls to the MPI library as ...
Anthony Danalis, Lori L. Pollock, D. Martin Swany,...