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1ArcvaVX: OpenVX Framework for Adaptive Reconfigurable Computer Vision Architectures
L. Kalms, M. Nickel, and D. Göhringer. Applied Reconfigurable Computing. Architectures, Tools, and Applications - 19th International Symposium, ARC 2023, Proceedings, page 97--112. Germany, Springer Science and Business Media B.V., (2023)Publisher Copyright: © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 19th International Symposium on Applied Reconfigurable Computing, ARC 2023 ; Conference date: 27-09-2023 Through 29-09-2023.
2 months ago by @scadsfct
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FIS_scads
topic_federatedlearn
OpenVX
FPGA,
Computer
Vision,
HLS,
Framework,
FIS_scadstopic_federatedlearnOpenVXFPGA,ComputerVision,HLS,Framework,
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1Auto-DOK: Compiler-assisted automatic detection of offload kernels for FPGA-HBM architectures
V. Iskandar, M. Abd El Ghany, and D. Goehringer. 2023 26th Euromicro Conference on Digital System Design (DSD), IEEE, (September 2023)
5 months ago by @scadsfct
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topic_federatedlearn
topic_federatedlearn
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1Auto-DOK: Compiler-Assisted Automatic Detection of Offload Kernels for FPGA-HBM Architectures
V. Iskandar, {. Abd El Ghany, and D. Goehringer. Proceedings - 2023 26th Euromicro Conference on Digital System Design, DSD 2023, page 577--584. United States of America, Institute of Electrical and Electronics Engineers Inc., (2023)Publisher Copyright: © 2023 IEEE.; 26th Euromicro Conference on Digital System Design, DSD 2023 ; Conference date: 06-09-2023 Through 08-09-2023.
2 months ago by @scadsfct
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FIS_scads
Architectures
topic_federatedlearn
Memory
Characterization,
(HBM),
Parallel
High-bandwidth
Code
FIS_scadsArchitecturestopic_federatedlearnMemoryCharacterization,(HBM),ParallelHigh-bandwidthCode
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1Compiler-assisted kernel selection for FPGA-based near-memory computing platforms
V. Iskandar, M. El Ghany, and D. Goehringer. 2023 IEEE 31st Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), IEEE, (May 2023)
5 months ago by @scadsfct
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topic_federatedlearn
topic_federatedlearn
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1Compiler-Assisted Kernel Selection for FPGA-based Near-Memory Computing Platforms
V. Iskandar, {. El Ghany, and D. Goehringer. Proceedings - 31st IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2023, page 222. United States of America, Institute of Electrical and Electronics Engineers Inc., (2023)Publisher Copyright: © 2023 IEEE.; 31st IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2023 ; Conference date: 08-05-2023 Through 11-05-2023.
2 months ago by @scadsfct
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FIS_scads
computing,
topic_federatedlearn
characterization,
parallel
near-memory
prediction
High-bandwidth
architectures,
memory,
FIS_scadscomputing,topic_federatedlearncharacterization,parallelnear-memorypredictionHigh-bandwidtharchitectures,memory,
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1DECISION: Distributing OpenVX Applications on CPUs, GPUs and FPGAs using OpenCL
L. Kalms, T. Häring, and D. Goehringer. page 84--91. (May 2022)
4 months ago by @scadsfct
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imported
topic_federatedlearn
topic_software
importedtopic_federatedlearntopic_software
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1Machine Learning Made Easy (MLme): a comprehensive toolkit for machine learning-driven data analysis
A. Akshay, M. Katoch, N. Shekarchizadeh, M. Abedi, A. Sharma, F. Burkhard, R. Adam, K. Monastyrskaya, and A. Gheinani. Gigascience, (January 2024)
5 months ago by @scadsfct
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problems;
topic_federatedlearn
visualization
learning;
data
machine
analysis;
AutoML;
classification
problems;topic_federatedlearnvisualizationlearning;datamachineanalysis;AutoML;classification
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1MLcps: machine learning cumulative performance score for classification problems
A. Akshay, M. Abedi, N. Shekarchizadeh, F. Burkhard, M. Katoch, A. Bigger-Allen, R. Adam, K. Monastyrskaya, and A. Gheinani. Gigascience, (December 2022)
5 months ago by @scadsfct
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problems;
topic_federatedlearn
score
unified
learning;
package;
evaluation
machine
Python
evaluation;
model
classification
problems;topic_federatedlearnscoreunifiedlearning;package;evaluationmachinePythonevaluation;modelclassification
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1NC-Library: Expanding SystemC Capabilities for Nested reConfigurable Hardware Modelling
J. Haase, N. Charaf, A. Groß, and D. Göhringer. ACM Transactions on Reconfigurable Technology and Systems, 17 (3): 1--29 (Apr 27, 2024)Publisher Copyright: © 2024 Copyright held by the owner/author(s)..
2 months ago by @scadsfct
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imported
topic_federatedlearn
FIS_scadsimportedtopic_federatedlearn
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1NDP-RANK: Prediction and ranking of NDP systems performance using machine learning
V. Iskandar, M. Abd El Ghany, and D. Goehringer. Microprocessors and Microsystems, (2023)
4 months ago by @scadsfct
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Near-data
Modeling,
topic_federatedlearn
exploration
Design
processing,
learning,
space
Machine
Prediction,
Near-dataModeling,topic_federatedlearnexplorationDesignprocessing,learning,spaceMachinePrediction,
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1Performance estimation and prototyping of reconfigurable near-memory computing systems
V. Iskandar, M. El Ghany, and D. Goehringer. 2023 33rd International Conference on Field-Programmable Logic and Applications (FPL), IEEE, (September 2023)
5 months ago by @scadsfct
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topic_federatedlearn
topic_federatedlearn
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1Performance Estimation and Prototyping of Reconfigurable Near-Memory Computing Systems
V. Iskandar, {. El Ghany, and D. Goehringer. Proceedings - 2023 33rd International Conference on Field-Programmable Logic and Applications, FPL 2023, page 357--358. United States of America, Institute of Electrical and Electronics Engineers Inc., (Nov 2, 2023)Publisher Copyright: © 2023 IEEE.; 33rd International Conference on Field-Programmable Logic and Applications, FPL 2023 ; Conference date: 04-09-2023 Through 08-09-2023.
2 months ago by @scadsfct
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FIS_scads
topic_federatedlearn
memory
High
Near
bandwidth
Architectures,
Prediction
Parallel
Computing,
memories,
FIS_scadstopic_federatedlearnmemoryHighNearbandwidthArchitectures,PredictionParallelComputing,memories,
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1RTASS: a RunTime Adaptable and Scalable System for Network-on-Chip-Based Architectures
N. Charaf, J. Haase, A. Kulisch, {. Elm, and D. Göhringer. 2023 26th Euromicro Conference on Digital System Design (DSD), page 585--592. IEEE, (Sep 8, 2023)Publisher Copyright: © 2023 IEEE.; 26th Euromicro Conference on Digital System Design, DSD 2023 ; Conference date: 06-09-2023 Through 08-09-2023.
2 months ago by @scadsfct
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FIS_scads
Shape
learning
Machine
computing,
topic_federatedlearn
Runtime,
vision,
algorithms,
architecture,
Embedded
Computer
Scalability,
FIS_scadsShapelearningMachinecomputing,topic_federatedlearnRuntime,vision,algorithms,architecture,EmbeddedComputerScalability,
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1Schlussbericht der Anwendungspartner zum Verbundvorhaben: ScaDS – Competence Center for Scalable Data Services and Solutions Dresden/Leipzig -- Phase 2
R. Jäkel, E. Peukert, and et. al.. (May 2022)
5 months ago by @scadsfct
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topic_federatedlearn
unit_transfer
topic_federatedlearnunit_transfer
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1SetQuence & SetOmic: Deep Set Transformer-based Representations of Cancer Multi-Omics
N. Jurenaite, D. Leon-Perinan, V. Donath, S. Torge, and R. Jakel. 2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2022, page 139--147. United States of America, IEEE, New York u. a., (2022)Publisher Copyright: © 2022 IEEE.; 2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2022 ; Conference date: 15-08-2022 Through 17-08-2022.
2 months ago by @scadsfct
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Set
processing,
gene
expression,
natural
language
molecular
livinglab
genome,
Deep
sequence
topic_federatedlearn
multi-omics,
mutome,
Representations
analysis,
Network,
Neural
FIS_scadsSetprocessing,geneexpression,naturallanguagemolecularlivinglabgenome,Deepsequencetopic_federatedlearnmulti-omics,mutome,Representationsanalysis,Network,Neural
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1SetQuence & SetOmic: Deep set transformers for whole genome and exome tumour analysis
N. Jurenaite, D. León-Periñán, V. Donath, S. Torge, and R. Jäkel. BioSystems, (January 2024)Copyright © 2023 The Authors. Published by Elsevier B.V. All rights reserved..
2 months ago by @scadsfct
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Humans,
topic_federatedlearn
Intelligence,
Artificial
Oncology,
Research,
livinglab
Exome/genetics,
Medical
Neoplasms/genetics
Biomedical
FIS_scadsHumans,topic_federatedlearnIntelligence,ArtificialOncology,Research,livinglabExome/genetics,MedicalNeoplasms/geneticsBiomedical
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1SpheroScan: a user-friendly deep learning tool for spheroid image analysis
A. Akshay, M. Katoch, M. Abedi, N. Shekarchizadeh, M. Besic, F. Burkhard, A. Bigger-Allen, R. Adam, K. Monastyrskaya, and A. Gheinani. Gigascience, (December 2022)
5 months ago by @scadsfct
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image
deep
learning;
analysis;
spheroids;
Image
screening;
Mask
3D
topic_federatedlearn
R-CNN;
high-throughput
segmentation
imagedeeplearning;analysis;spheroids;Imagescreening;Mask3Dtopic_federatedlearnR-CNN;high-throughputsegmentation
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publications (hide)17
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1ArcvaVX: OpenVX Framework for Adaptive Reconfigurable Computer Vision Architectures

1Auto-DOK: Compiler-assisted automatic detection of offload kernels for FPGA-HBM architectures

1Auto-DOK: Compiler-Assisted Automatic Detection of Offload Kernels for FPGA-HBM Architectures

1Compiler-assisted kernel selection for FPGA-based near-memory computing platforms

1Compiler-Assisted Kernel Selection for FPGA-based Near-Memory Computing Platforms

1DECISION: Distributing OpenVX Applications on CPUs, GPUs and FPGAs using OpenCL

1Machine Learning Made Easy (MLme): a comprehensive toolkit for machine learning-driven data analysis

1MLcps: machine learning cumulative performance score for classification problems

1NC-Library: Expanding SystemC Capabilities for Nested reConfigurable Hardware Modelling

1NDP-RANK: Prediction and ranking of NDP systems performance using machine learning

1Performance estimation and prototyping of reconfigurable near-memory computing systems

1Performance Estimation and Prototyping of Reconfigurable Near-Memory Computing Systems

1RTASS: a RunTime Adaptable and Scalable System for Network-on-Chip-Based Architectures

1Schlussbericht der Anwendungspartner zum Verbundvorhaben: ScaDS – Competence Center for Scalable Data Services and Solutions Dresden/Leipzig -- Phase 2

1SetQuence & SetOmic: Deep Set Transformer-based Representations of Cancer Multi-Omics

1SetQuence & SetOmic: Deep set transformers for whole genome and exome tumour analysis

1SpheroScan: a user-friendly deep learning tool for spheroid image analysis

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