21 citations · 191 across the 67 of their papers we have counts for
10 papers · 1 filter
Performance Reporting of Mathematical Library Installations with LAAB - An Overview
Aravind Sankaran, Paolo Bientinesi
We present the Linear Algebra Aware Benchmarks (LAAB) framework for systematically assessing and reporting the performance of mathematical library installations on HPC systems. Mat…
Inspection of I/O Operations from System Call Traces using Directly-Follows-Graph
Aravind Sankaran, Ilya Zhukov, Wolfgang Frings +1
We aim to identify the differences in Input/Output(I/O) behavior between multiple user programs through the inspection of system calls (i.e., requests made to the operating system)…
Ranking with Ties based on Noisy Performance Data
Aravind Sankaran, Lars Karlsson, Paolo Bientinesi
We consider the problem of ranking a set of objects based on their performance when the measurement of said performance is subject to noise. In this scenario, the performance is me…
A Test for FLOPs as a Discriminant for Linear Algebra Algorithms
Aravind Sankaran, Paolo Bientinesi
Linear algebra expressions, which play a central role in countless scientific computations, are often computed via a sequence of calls to existing libraries of building blocks (suc…
FLOPs as a Discriminant for Dense Linear Algebra Algorithms
Francisco López, Lars Karlsson, Paolo Bientinesi
Expressions that involve matrices and vectors, known as linear algebra expressions, are commonly evaluated through a sequence of invocations to highly optimised kernels provided in…
Performance Comparison for Scientific Computations on the Edge via Relative Performance
Aravind Sankaran, Paolo Bientinesi
In a typical Internet-of-Things setting that involves scientific applications, a target computation can be evaluated in many different ways depending on the split of computations a…
Discriminating Equivalent Algorithms via Relative Performance
Aravind Sankaran, Paolo Bientinesi
In scientific computing, it is common that a mathematical expression can be computed by many different algorithms (sometimes over hundreds), each identifying a specific sequence of…
The ELAPS Framework: Experimental Linear Algebra Performance Studies
Elmar Peise, Paolo Bientinesi
Optimal use of computing resources requires extensive coding, tuning and benchmarking. To boost developer productivity in these time consuming tasks, we introduce the Experimental…
Cache-aware Performance Modeling and Prediction for Dense Linear Algebra
Elmar Peise, Paolo Bientinesi
Countless applications cast their computational core in terms of dense linear algebra operations. These operations can usually be implemented by combining the routines offered by s…
Solving Dense Generalized Eigenproblems on Multi-threaded Architectures
José I. Aliaga, Paolo Bientinesi, Davor Davidović +3
We compare two approaches to compute a portion of the spectrum of dense symmetric definite generalized eigenproblems: one is based on the reduction to tridiagonal form, and the oth…