Add to ORKGWe report on the performance of a library prototype for external memory algorithms and data structures called LEDA-SM, where SM is an acronym for secondary memory. Our library is based on LEDA and intended to complement it for large data. We present performance results of our external memory library prototype and compare these results with corresponding results of LEDAs in-core algorithms in virtual memory. The results show that even if only a small main memory is used for the external memory algorithms, they always outperform their in-core counterpart. Furthermore we compare different implementations of external memory data structures and algorithms
The design and implementation of the commodity memory architecture has resulted in significant limit...
PhD ThesisCurrent microprocessors improve performance by exploiting instruction-level parallelism (I...
In this paper we present a paradigm for solving external-memory problems, and illustrate it by algor...
We report on the performance of a library prototype for external memory algorithms and data structur...
During the last years, many software libraries for \emph{in-core} computation have been developed. M...
Abstract. During the last years, many software libraries for in-core computation have been developed...
In this paper we compare the performance of eight different priority queue implementations: four of ...
. Data sets in large applications are often too massive to fit completely inside the computer's...
The original publication is available at www.springerlink.comThe data sets for many of today's compu...
The memory system is increasingly becoming a performance bottleneck. Several intelligent memory syst...
Data sets in large applications are often too massive to fit completely inside the computer’s intern...
When data do not fit in main memory (RAM), external (or secondary) memory is used. Magnetic disks ar...
In this Research Report we want to clarify the current efficiency of two LEDA software layers. We ex...
ALEXNEX07/ ANACO04: Workshop on Algorithm Engineering & Experiments, 6 January 2007, Astor Crowne P...
LEDA is a library of efficient data types and algorithms in combinatorial and geometric computing. T...
The design and implementation of the commodity memory architecture has resulted in significant limit...
PhD ThesisCurrent microprocessors improve performance by exploiting instruction-level parallelism (I...
In this paper we present a paradigm for solving external-memory problems, and illustrate it by algor...
We report on the performance of a library prototype for external memory algorithms and data structur...
During the last years, many software libraries for \emph{in-core} computation have been developed. M...
Abstract. During the last years, many software libraries for in-core computation have been developed...
In this paper we compare the performance of eight different priority queue implementations: four of ...
. Data sets in large applications are often too massive to fit completely inside the computer's...
The original publication is available at www.springerlink.comThe data sets for many of today's compu...
The memory system is increasingly becoming a performance bottleneck. Several intelligent memory syst...
Data sets in large applications are often too massive to fit completely inside the computer’s intern...
When data do not fit in main memory (RAM), external (or secondary) memory is used. Magnetic disks ar...
In this Research Report we want to clarify the current efficiency of two LEDA software layers. We ex...
ALEXNEX07/ ANACO04: Workshop on Algorithm Engineering & Experiments, 6 January 2007, Astor Crowne P...
LEDA is a library of efficient data types and algorithms in combinatorial and geometric computing. T...
The design and implementation of the commodity memory architecture has resulted in significant limit...
PhD ThesisCurrent microprocessors improve performance by exploiting instruction-level parallelism (I...
In this paper we present a paradigm for solving external-memory problems, and illustrate it by algor...