Intel vs AMD: Matrix Multiplication Performance
Date Issued
2013-05-20
Author(s)
Anchev, Nenad
Atanasovski, Blagoj
Abstract
Matrix-Matrix multiplication (MMM) is widely used
algorithm in today’s computations and researches. Many techniques exist to speed up its execution. In this paper, we analyze
the performance of MMM varying matrix size in order to
determine its behavior and the region where it provides the best
performance. We also determine the best speedup and efficiency
in parallel implementation for different CPU architectures since
cache architecture and organization is very important for MMM
performance. Intel i7 and AMD Opteron CPUs are used as
an environment. Several achieved results are expected, but
there are also many unexpected. Superlinear speedup (speedup
greater than the number of used threads) and the efficiency
greater than 100% are achieved for each parallel implementation
only on AMD Opteron. We observe regions with performance
discrepancy for all three parameters for both CPUs.
algorithm in today’s computations and researches. Many techniques exist to speed up its execution. In this paper, we analyze
the performance of MMM varying matrix size in order to
determine its behavior and the region where it provides the best
performance. We also determine the best speedup and efficiency
in parallel implementation for different CPU architectures since
cache architecture and organization is very important for MMM
performance. Intel i7 and AMD Opteron CPUs are used as
an environment. Several achieved results are expected, but
there are also many unexpected. Superlinear speedup (speedup
greater than the number of used threads) and the efficiency
greater than 100% are achieved for each parallel implementation
only on AMD Opteron. We observe regions with performance
discrepancy for all three parameters for both CPUs.
Subjects
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