In this work, we study the cache-oblivious computation model, which is inspired by the behaviour of the memory hierarchy of current computers. We study several graph algorithms and techniques of their design in this model. We consider graph searching, identifying connected components and computing maximal matching. We also study sorting and matrix multiplication as subproblems of many graph algorithms. In ad- dition to previously known algorithms, we present several new ones. We study their efficiency both by the means of asymptotic complexity and by benchmarking them on real hardware and we compare them with classical algorithms
This paper is an algorithmic engineering study of cache-oblivious sorting. We investigate by em-piri...
We address the design of algorithms for multicores that are oblivious to machine parameters. We prop...
AbstractOne of the keys to tap the full performance potential of current hardware is the optimal uti...
In this paper we explore a simple and general approach for developing parallel algorithms that lead ...
In this paper, we develop algorithmic optimizations to improve the cache performance of four fundame...
Graph processing is an ever-increasing significant area of research in the wake of the demand for ef...
Graph processing is an ever-increasing significant area of research in the wake of the demand for ef...
We develop an optimal cache-oblivious priority queue data structure, supporting insertion, deletion,...
Abstract This paper presents asymptotically optimal algo-rithms for rectangular matrix transpose, FF...
Cache-oblivious algorithms have been advanced as a way of circumventing some of the difficulties of ...
textThe ideal-cache model is an abstraction of the memory hierarchy in modern computers which facili...
We introduce the cache-adaptive model, which generalizes the external-memory model to apply to envir...
textThe ideal-cache model is an abstraction of the memory hierarchy in modern computers which facili...
We present a model that enables us to analyze the running time of an algorithm on a computer with a ...
) Sandeep Sen y Siddhartha Chatterjee z Submitted for publication Abstract We describe a model...
This paper is an algorithmic engineering study of cache-oblivious sorting. We investigate by em-piri...
We address the design of algorithms for multicores that are oblivious to machine parameters. We prop...
AbstractOne of the keys to tap the full performance potential of current hardware is the optimal uti...
In this paper we explore a simple and general approach for developing parallel algorithms that lead ...
In this paper, we develop algorithmic optimizations to improve the cache performance of four fundame...
Graph processing is an ever-increasing significant area of research in the wake of the demand for ef...
Graph processing is an ever-increasing significant area of research in the wake of the demand for ef...
We develop an optimal cache-oblivious priority queue data structure, supporting insertion, deletion,...
Abstract This paper presents asymptotically optimal algo-rithms for rectangular matrix transpose, FF...
Cache-oblivious algorithms have been advanced as a way of circumventing some of the difficulties of ...
textThe ideal-cache model is an abstraction of the memory hierarchy in modern computers which facili...
We introduce the cache-adaptive model, which generalizes the external-memory model to apply to envir...
textThe ideal-cache model is an abstraction of the memory hierarchy in modern computers which facili...
We present a model that enables us to analyze the running time of an algorithm on a computer with a ...
) Sandeep Sen y Siddhartha Chatterjee z Submitted for publication Abstract We describe a model...
This paper is an algorithmic engineering study of cache-oblivious sorting. We investigate by em-piri...
We address the design of algorithms for multicores that are oblivious to machine parameters. We prop...
AbstractOne of the keys to tap the full performance potential of current hardware is the optimal uti...