D-Index & Metrics Best Publications

Erik Hagersten

Uppsala University
Sweden

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name Citations Publications World Ranking National Ranking

Computer Science D-index 51 Citations 6,985 284 World Ranking 3585 National Ranking 21

Overview

What is he best known for?

The fields of study he is best known for:

Operating system
Central processing unit
Computer network

Erik Hagersten focuses on Multiprocessing, Parallel computing, Cache, Computer network and Operating system. His Multiprocessing study combines topics from a wide range of disciplines, such as Process, Computer hardware, Database transaction, Real-time computing and Software. His Parallel computing research is multidisciplinary, incorporating elements of Data structure and Memory management.

His work on Cache algorithms and Smart Cache as part of general Cache research is frequently linked to Locality, thereby connecting diverse disciplines of science. The Cache algorithms study which covers Cache coloring that intersects with Cache invalidation, Cache pollution and Page cache. The various areas that Erik Hagersten examines in his Computer network study include Address bus, Flat memory model and Physical address.

His most cited work include:

DDM-a cache-only memory architecture (198 citations)
Queue locks on cache coherent multiprocessors (178 citations)
StatCache: a probabilistic approach to efficient and accurate data locality analysis (149 citations)

What are the main themes of his work throughout his whole career to date?

His scientific interests lie mostly in Cache, Computer network, Parallel computing, Multiprocessing and Operating system. As a part of the same scientific family, Erik Hagersten mostly works in the field of Cache, focusing on Computer hardware and, on occasion, Protocol. His Computer network study combines topics in areas such as Database transaction, Real-time computing, Embedded system and Physical address.

His Parallel computing research integrates issues from Computer architecture and Distributed shared memory. His research in Multiprocessing intersects with topics in Process, State, Instruction prefetch, System interface and Software. He works mostly in the field of Cache algorithms, limiting it down to topics relating to Cache coloring and, in certain cases, Page cache, as a part of the same area of interest.

He most often published in these fields:

Cache (35.16%)
Computer network (27.10%)
Parallel computing (26.77%)

What were the highlights of his more recent work (between 2013-2019)?

Cache (35.16%)
Parallel computing (26.77%)
Cache algorithms (15.48%)

In recent papers he was focusing on the following fields of study:

Erik Hagersten mainly focuses on Cache, Parallel computing, Cache algorithms, Cache pollution and Cache invalidation. His Cache study is concerned with the field of Operating system as a whole. His Parallel computing study integrates concerns from other disciplines, such as Computer architecture and Software.

His research in Cache algorithms focuses on subjects like Cache coloring, which are connected to Page cache. His Cache invalidation study is concerned with the larger field of Computer network. His research on Computer network often connects related areas such as Computer hardware.

Between 2013 and 2019, his most popular works were:

Analytical Processor Performance and Power Modeling Using Micro-Architecture Independent Characteristics (27 citations)
Micro-architecture independent analytical processor performance and power modeling (26 citations)
Building Heterogeneous Unified Virtual Memories (UVMs) without the Overhead (22 citations)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

DDM-a cache-only memory architecture

E. Hagersten;A. Landin;S. Haridi.
IEEE Computer (1992)

435 Citations

DDM-a cache-only memory architecture

Erik Hagersten;Anders Landin;Seif Haridi.
IEEE Computer (1992)

429 Citations

Multiprocessing computer system employing a cluster communication error reporting mechanism

Erik E. Hagersten;Christopher J. Jackson;Aleksandr Guzovskiy;William A. Nesheim.
(1998)

293 Citations

StatCache: a probabilistic approach to efficient and accurate data locality analysis

E. Berg;E. Hagersten.
international symposium on performance analysis of systems and software (2004)

235 Citations

THROOM — Supporting POSIX Multithreaded Binaries on a Cluster

Henrik Löf;Zoran Radović;Erik Hagersten.
european conference on parallel processing (2003)

225 Citations

Queue locks on cache coherent multiprocessors

P. Magnusson;A. Landin;E. Hagersten.
international parallel processing symposium (1994)

224 Citations

Hybrid numa coma caching system and methods for selecting between the caching modes

Erik Hagersten;Robert C. Zak.
(1996)

191 Citations

WildFire: a scalable path for SMPs

E. Hagersten;M. Koster.
high-performance computer architecture (1999)

166 Citations

StatStack: Efficient modeling of LRU caches

David Eklov;Erik Hagersten.
international symposium on performance analysis of systems and software (2010)

163 Citations

Multiprocessing system configured to perform efficient write operations

Erik E. Hagersten.
(1996)

153 Citations

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