18 citations · 40 across the 7 of their papers we have counts for
8 papers
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…
Benchmarking the Linear Algebra Awareness of TensorFlow and PyTorch
Aravind Sankaran, Navid Akbari Alashti, Christos Psarras +1
Linear algebra operations, which are ubiquitous in machine learning, form major performance bottlenecks. The High-Performance Computing community invests significant effort in the…
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…
TTC: A Tensor Transposition Compiler for Multiple Architectures
Paul Springer, Aravind Sankaran, Paolo Bientinesi
We consider the problem of transposing tensors of arbitrary dimension and describe TTC, an open source domain-specific parallel compiler. TTC generates optimized parallel C++/CUDA…