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Lehrstuhl für Informatik 3 (Rechnerarchitektur)
Friedrich-Alexander-Universität Erlangen-Nürnberg
Technische Fakultät
Department Informatik
Overview
Publications
(368)
Research Grants
(35)
Types of publications
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Journal article
Journal article
Book chapter / Article in edited volumes
Book chapter / Article in edited volumes
Authored book
Authored book
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Translation
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Thesis
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Edited Volume
Conference contribution
Conference contribution
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Other publication type
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Unpublished / Preprint
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A First-Principles Approach to Performance, Power, and Energy Models for Contemporary Multi- and Many-Core Processors (2019)
Hofmann J
Thesis
A Time-based Sensing Scheme for Multi-level Cell (MLC) Resistive RAM (2019)
Reuben JR, Fey D
Conference contribution
System architecture for network-attached FPGAs in the cloud using partial reconfiguration (2019)
Ringlein B, Abel F, Ditter A, Weiss B, Hagleitner C, Fey D
Conference contribution
Harnessing billions of tasks for a scalable portable hydrodynamic simulation of the merger of two stars (2019)
Heller T, Lelbach BA, Huck KA, Biddiscombe J, Grubel P, Koniges AE, Kretz M, et al.
Journal article
Bridging the gap between high-performance, cloud and service-oriented computing (2019)
Ditter A, Tielemann M, Fey D
Conference contribution
Automated instruction stream throughput prediction for intel and AMD microarchitectures (2019)
Laukemann J, Hammer J, Hofmann J, Hager G, Wellein G
Conference contribution
Optimizing Multi-State Reliability in ReRAM Arrays using an Automated Device Selection Method (2019)
Peschel J, Knödtel J, Pérez E, Reichenbach M, Wenger C, Fey D
Conference contribution, Abstract of lecture
AllScale toolchain pilot applications: PDE based solvers using a parallel development environment (2019)
O'Donncha F, Iakymchuk R, Akhriev A, Gschwandtner P, Thoman P, Heller T, Aguilar X, et al.
Journal article
Evaluating HSA-Compatible Heterogeneous Systems for ADAS Applications (2019)
Bauer W, Holzinger P, Rachuj S, Häublein K, Reichenbach M, Fey D
Conference contribution, Conference Contribution
A modeling methodology for resistive RAM based on stanford-PKU model with extended multilevel capability (2019)
Reuben JR, Fey D, Wenger C
Journal article
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