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CORDIS

Integrated Data Analysis Pipelines for Large-Scale Data Management, HPC, and Machine Learning

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Initial prototype of benchmarking toolkit (opens in new window)

Prototype of benchmark toolkit for runtime tracing and performance analysis.

Extended Compiler Prototype (opens in new window)

Software artifact of an extended compiler prototype that added advanced optimizations and incorporated feedback from the other work packages.

Final prototype of managed storage tiers including automatic placement (opens in new window)

Final prototype of the end-to-end computation storage components.

Prototype and overview multi-device operations and placement (opens in new window)

Prototype and overview of multi-device operations and the decision model for data placement on multiple homogeneous or heterogeneous devices.

Open Source Project DAPHNE Reference Implementation (opens in new window)

Initial open source release of the DAPHNE reference implementation.

Final prototype of benchmarking toolkit (opens in new window)

Final prototype of benchmark toolkit for runtime tracing and performance analysis.

Final DSL runtime prototype (opens in new window)

Final prototype of the end-to-end runtime system.

Improved prototype of pipeline, task, and parameter server scheduling (opens in new window)

Refined prototype of the pipeline and task/data scheduling mechanisms as well as early prototypes for multi-tenant resource sharing and parameter server update strategies.

Compiler Prototype (opens in new window)

Software artifact of the initial compiler prototype

Prototype and overview HW accelerator support and performance models (opens in new window)

Prototype of the techniques described in D7.1 and an overview report on the devised performance models.

DSL runtime prototype (opens in new window)

Initial prototype of the end-to-end runtime system.

Prototype of pipelines and task scheduling mechanisms (opens in new window)

Initial prototype of the pipeline and task/data scheduling mechanisms.

Prototype and overview of managed storage tiers and near-data processing (opens in new window)

Report and initial prototype of managed storage tiers and near-data processing for first and second order functions.

Final Compiler Prototype (opens in new window)

Final software artifact of the compiler infrastructure.

Prototype and overview code generation framework (opens in new window)

Prototype and report describing the extended code generation framework for GPUs and other accelerators, with special focus on the generation of sparsity-exploiting fused operators.

Prototype and overview of data path optimizations and placement (opens in new window)

Report and prototype of used data path optimization techniques and automatic data placement in hybrid memory and storage configurations.

2nd Annual Project Report (opens in new window)

Public report describing the project progress until M24, achievements and impact, as well as a calculation of efforts and costs.

DSL runtime design (opens in new window)

Report on the initial design of distribution primitives and existing framework integration

Initial System Architecture (opens in new window)

Report on requirements of endtoend data analysis pipelines and design of the initial system architecture

Compiler Design and Overview (opens in new window)

Report on the overall design and high-level overview of the internals and key techniques.

Initial benchmark concept and definition (opens in new window)

Report on the DaphneBench concept and detailed benchmark specification.

Scheduler design for pipelines and tasks (opens in new window)

Report on the initial overall design of the scheduling components scheduling of pipelines and workflows as well as task and data placement

Benchmarking results all use case studies (opens in new window)

Report quantifying the productivity and performance improvements of the DAPHNE stack over the initial baseline implementation (begin of the project) and state-of-the-art alternatives (end of the project).

3rd Annual Project Report (opens in new window)

Public report describing the project progress until M36, achievements and impact, as well as a calculation of efforts and costs.

SotA survey of benchmarks from DM, HPC, and ML Sys (opens in new window)

Report on the stateoftheart of benchmarks for database systems data management highperformance computing and ML systems

Final design and prototype of scheduling components (opens in new window)

Final design document, description of internals, and refined prototypes of all scheduling components.

Initial pipeline definition all use cases (opens in new window)

Report on use case studies with technical details and the definition of initial pipelines that can be used for testing

Language Design Specification (opens in new window)

Report on the language abstractions APIs and DSL as well as the central internal representation

Refined System Architecture (opens in new window)

Report on the final, i.e., refined and improved system architecture.

Design of integration HW accelerators (opens in new window)

Report on the planned overall design of integration HW accelerators as well as details on accelerated operations and primitives as well as its compiler and runtime support

Final Project Report (opens in new window)

Public report describing the overall project results until M48, achievements and impact, as well as a calculation of efforts and costs.

Report on search space analysis, automatic capability configuration (opens in new window)

Report on stateoftheart techniques for computational storage neardata processing and potential side effects as well as an overview of automatically determining the capabilities of a storage configuration

Improved DSL runtime prototype and overview (opens in new window)

Report and prototype of the improved runtime system (primitives, framework integration, local/distributed operations, data access).

Improved pipelines all use case studies (opens in new window)

Report on extended pipelines that improve runtime and/or accuracy by leveraging the DAPHNE system infrastructure and exploiting the eminent runtime-accuracy trade-off.

1st Annual Project Report (opens in new window)

Public report describing the project progress until M12 achievements and impact as well as a calculation of efforts and costs

Publications

DaphneSched: A Scheduler for Integrated Data Analysis Pipelines

Author(s): Ahmed Eleliemy, Florina M. Ciorba
Published in: ISPDC23; IEEE, 2023
Publisher: ISPDC23; IEEE

I/O Interface Independence with xNVMe

Author(s): Simon Lund, Philippe Bonnet, Klaus Jensen, Javier Gonzalez
Published in: Proceedings of the 15th ACM International Systems and Storage Conference, Issue annually, 2022
Publisher: ACM - Association for Computing Machinery

DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines

Author(s): Patrick Damme, Marius Birkenbach, Constantinos Bitsakos, Matthias Boehm, Philippe Bonnet, Florina Ciorba, Mark Dokter, Pawel Dowgiallo, Ahmed Eleliemy, Christian Faerber, Georgios Goumas, Dirk Habich, Niclas Hedam, Marlies Hofer, Wenjun Huang, Kevin Innerebner, Vasileios Karakostas, Roman Kern, Tomaž Kosar, Daniel Krems, Andreas Laber, Wolfgang Lehner, Eric Mier, Marcus Paradies, Bernhard Peischl
Published in: Conference on Innovative Data Systems Research, CIDR, Issue 9.1.2022-12.1.2022, 2022
Publisher: Conference on Innovative Data Systems Research, CIDR

Profiling and Monitoring Deep Learning Training Tasks

Author(s): Ehsan Yousefzadeh-Asl-Miandoab, Ties Robroek, Pınar Tözün
Published in: 3rd International Workshop on Machine Learning and Systems, 2023, ISBN 979-8-4007-0084-2
Publisher: ACM - Association for Computing Machinery

Micro-architectural Analysis of a Learned Index (opens in new window)

Author(s): Mikkel Møller Andersen, Pınar Tözün
Published in: Proceedings of the International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, Issue annually, 2022
Publisher: ACM - Association for Computing Machinery
DOI: 10.1145/3533702.3534917

Addressing Data Management Challenges for Interoperable Data Science

Author(s): Ilin Tolovski, Tilmann Rabl
Published in: 1st International Workshop on Data-driven AI (DATAI) @ VLDB ’24 (2024), 2024
Publisher: ACM

Not your Grandpa's SSD: The Era of Co-Designed Storage Devices

Author(s): Alberto Lerner, Philippe Bonnet
Published in: Proceedings of the 2021 International Conference on Management of Data, 2021
Publisher: ACM

Evaluating Multi-GPU Sorting with Modern Interconnects

Author(s): Tobias Maltenberger, Ivan Ilic, Ilin Tolovski, Tilmann Rabl
Published in: Proceedings of the 2022 International Conference on Management of Data (SIGMOD ’22), Issue annually, 2022
Publisher: ACM - Association for Computing Machinery

Equipment Condition-Integrated Predictive Modeling for Optimized Scheduling of Ion Implantation in Semiconductor Manufacturing

Author(s): Andreas Laber, Martin Gebser, Konstantin Schekotihin
Published in: ECAI 2024, 2024
Publisher: IOS Press

Efficient Multi-Model Management

Author(s): Nils Strassenburg, Dominic Kupfer, Julia Kowal, Tilmann Rabl
Published in: 26th International Conference on Extending Database Technology (EDBT), Issue annually, 2023
Publisher: OpenProceedings.org

Ghostwriter: a Distributed Message Broker on RDMA and NVM

Author(s): Hendrik Makait, Bonaventura Del Monte, Tilmann Rabl
Published in: 15th International Workshop on Accelerating Analytics and Data Management Systems Using Modern Processor and Storage, 2024
Publisher: ACM

Enabling Integrated Data Analysis Pipelines on Heterogeneous Hardware through Holistic Extensibility

Author(s): Patrick Damme, Matthias Boehm
Published in: 2nd Workshop on Novel Data Management Ideas on Heterogeneous Hardware Architectures (NoDMC), 2023
Publisher: Gesellschaft für Informatik

Deco: Fast and Accurate Decentralized Aggregation of Count-Based Windows in Large-Scale IoT Applications

Author(s): Wang Yue, Rafael Moczalla, Manisha Luthra, Tilmann Rabl
Published in: EDBT 24, 2024
Publisher: OpenProceedings.org

SIMDified Data Processing - Foundations, Abstraction, and Advanced Techniques

Author(s): Dirk Habich, Johannes Pietrzyk
Published in: SIGMOD 2024, 2024
Publisher: ÂCM

Comparing Evolved Extractive Text Summary Scores of Bidirectional Encoder Representations from Transformers

Author(s): Aleš Zamuda, Jani Dugonik, Elena Lloret
Published in: 11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), 2024, ISBN 9788662000019
Publisher: ETRAN Society

A Survey of Big Data, High Performance Computing, and Machine Learning Benchmarks

Author(s): Nina Ihde, Paula Marten, Ahmed Eleliemy, Gabrielle Poerwawinata, Pedro Silva, Ilin Tolovski, Florina M. Ciorba, Tilmann Rabl
Published in: Proceedings of the Thirteenth TPC Technology Conference on Performance Evaluation & Benchmarking, 2021
Publisher: Springer

Delilah: eBPF-offload on computational storage

Author(s): Niclas Hedam, Morten Tychsen Clausen, Philippe Bonnet, Sangjin Lee, Ken Friis Larsen
Published in: 19th International Workshop on Data Management on New Hardware (DaMoN), Issue annually, 2023
Publisher: ACM

Parallelization of benchmarking using HPC: text summarization in natural language processing (NLP), glider piloting in deep-sea missions, and search algorithms in computational intelligence (CI)

Author(s): Aleš Zamuda
Published in: Proceedings of the Austrian-Slovenian HPC Meeting 2021 - ASHPC21, 2021, ISBN 978-961-6980-77-7
Publisher: University of Ljubljana

DeGNN: Improving Graph Neural Networks with Graph Decomposition

Author(s): Miao, Xupeng; Gürel, Nezihe Merve; id_orcid0000-0002-4747-2406; Zhang, Wentao; Han, Zhichao; Li, Bo; Min, Wei; Rao, Susie; id_orcid0000-0003-2379-1506; Ren, Hansheng; Shan, Yinan; Shao, Yingxia; Wang, Yujie; Wu, Fan; Xue, Hui; Yang, Yaming; Zhang, Zitao; Zhao, Yang; Zhang, Shuai; id_orcid0000-0002-7866-4611; Wang, Yujing; Cui, Bin; Zhang, Ce
Published in: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD '21), Issue annually, 2021
Publisher: ACM

Reaching the Edge of the Edge: Image Analysis in Space

Author(s): Robert Bayer, Julian Priest, Pınar Tözün
Published in: In Workshop on Data Management for End-to-End Machine Learning (DEEM 24), 2024
Publisher: ACM

Accelerating Parallel Operation for Compacting Selected Elements on GPUs

Author(s): Johannes Fett, Urs Kober, Christian Schwarz, Dirk Habich, Wolfgang Lehner
Published in: Euro-Par2022, Issue annually, 2022, ISBN 9798400707834
Publisher: 28th International European Conference on Parallel and Distributed Computing

Very Large Scale Global Optimization with Randomised Optimisation Algorithms in DAPHNE

Author(s): Aleš Zamuda
Published in: 33rd International Electrotechnical and Computer Science Conference ERK 2024, 2024
Publisher: Društvo Slovenska sekcija IEEE

An Analysis of Collocation on GPUs for Deep Learning Training

Author(s): Ties Robroek, Ehsan Yousefzadeh-Asl-Miandoab, Pınar Tözün
Published in: 4th International Workshop on Machine Learning and Systems, 2024
Publisher: ACM - Association for Computing Machinery

Evaluating In-Memory Hash Joins on Persistent Memory (opens in new window)

Author(s): Tobias Maltenberger, Till Lehmann, Lawrence Benson, Tilmann Rabl
Published in: 25th International Conference on Extending Database Technology (EDBT), Issue annually, 2022
Publisher: OpenProceedings.org
DOI: 10.48786/edbt.2022.23

Evaluating SIMD Compiler-Intrinsics for Database Systems

Author(s): Lawrence Benson, Richard Ebeling and Tilmann Rabl
Published in: VLDBW -- ADMS 23, 2023
Publisher: ACM - Association for Computing Machinery

Digital Strategic Communication: the Case of the 1st DAPHNE Symposium

Author(s): Tina Tomažič, Aleš Zamuda
Published in: 33rd International Electrotechnical and Computer Science Conference ERK 2024, 2024
Publisher: Društvo Slovenska sekcija IEEE

TPCx-AI - An Industry Standard Benchmark for Artificial Intelligence and Machine Learning Systems

Author(s): Christoph Brücke, Philipp Härtling, Rodrigo D Escobar Palacios, Hamesh Patel and Tilmann Rabl
Published in: 2023
Publisher: VLDB23; ACM - Association for Computing Machinery

A Three-Tier Buffer Manager Integrating CXL Device Memory for Database Systems

Author(s): Niklas Riekenbrauck, Marcel Weisgut, Daniel Lindner, Tilmann Rabl
Published in: 2024
Publisher: IEEE

Desis: Efficient Window Aggregation in Decentralized Networks

Author(s): Wang Yue, Lawrence Benson, Tilmann Rabl
Published in: 26th International Conference on Extending Database Technology (EDBT), Issue annually, 2023
Publisher: OpenProceedings.org

Darwin: Scale-In Stream Processing

Author(s): Lawrence Benson, Tilmann Rabl
Published in: Conference on Innovative Data Systems Research, CIDR 22, Issue annually, 2022
Publisher: Conference on Innovative Data Systems Research, CIDR 22

Analyzing Vectorized Hash Tables across CPU Architectures (opens in new window)

Author(s): Maximilian Böther; Lawrence Benson; Ana Klimovic; Tilmann Rabl
Published in: Proceedings of the VLDB Endowment, 16 (11), Issue 25, 2023
Publisher: ACM - Association for Computing Machinery
DOI: 10.14778/3611479.3611485

Considering a Fear and Greed Index in Bitcoin Price Prediction Through Long Short-Term Memory

Author(s): Nataša Ošep Ferš, Aleš Zamuda
Published in: IEEE Slovenia Section, Issue annually, 2021
Publisher: IEEE

Maximizing Persistent Memory Bandwidth Utilization for OLAP Workloads

Author(s): Björn Daase, Lars Jonas Bollmeier, Lawrence Benson, Tilmann Rabl
Published in: Proceedings of the 2021 International Conference on Management of Data (SIGMOD 2021), 2021
Publisher: ACM

InferDB: In-Database Machine Learning Inference Using Indexes

Author(s): Ricardo Salazar Díaz, Boris Glavic, and Tilmann Rabl
Published in: 2024
Publisher: VLDB 2024

Solving 100-Digit Challenge with Score 100 by Extended Running Time and Parallel Benchmarking

Author(s): Aleš Zamuda
Published in: Proceedings of the 17th International Symposium on Operational Research in Slovenia, Issue bi-annually, 2023, ISBN 978-961-6165-61-7
Publisher: Slovenian Society INFORMATIKA – Section for Operational Research

DaphneSched: A Scheduler for Integrated Data Analysis Pipelines

Author(s): Ahmed Eleliemy, Florina M. Ciorba, Jonas H. Müller Korndörfer
Published in: ISPDC23, 2023
Publisher: ISPDC23

Experimental pipeline definition for surface high-density electromyogram (HDEMG) processing

Author(s): Matjaž Divjak, Aleš Zamuda
Published in: 33rd International Electrotechnical and Computer Science Conference ERK 2024, 2024
Publisher: Društvo Slovenska sekcija IEEE

Deploying DAPHNE Computational Intelligence on EuroHPC Vega for Benchmarking Randomised Optimisation Algorithms

Author(s): Aleš Zamuda, Mark Dokter
Published in: International Conference on Broadband Communications for Next Generation Networks and Multimedia Applications (CoBCom), 2024
Publisher: IEEE

How Do OS and Application Schedulers Interact? An Investigation with Multithreaded Applications

Author(s): Jonas H. Müller Korndorfer, Ahmed Eleliemy, Osman Simsek, Thomas Ilsche, Robert Schöne, Florina M. Ciorba
Published in: Springer, 2023, ISBN 978-3-031-39697-7
Publisher: Euro-Par 2023

Near to Far: An Evaluation of Disaggregated Memory for In-Memory Data Processing

Author(s): Andreas Geyer, Johannes Pietrzyk, Alexander Krause, Dirk Habich, Wolfgang Lehner, Christian Färber, Thomas Willhalm
Published in: DIMES@SOSP 2023: 1st workshop on Disruptive Memory Systems, 2023
Publisher: ACM Symposium on Operating Systems Principles (SOSP)

Surprise Benchmarking: The Why, What, and How

Author(s): L. Benson, C. Binnig, J. Bodensohn, F. Lorenzi, J. Luo, D. Porobic, T. Rabl, A. Sanghi, R. Sears, P. Tözün, T. Ziegler
Published in: In Proceedings of the Tenth International Workshop on Testing Database Systems, 2024
Publisher: ACM

PerMA-Bench: Benchmarking Persistent Memory Access (opens in new window)

Author(s): Benson, Lawrence and Papke, Leon and Rabl, Tilmann
Published in: Proceedings of the Very Large Data Base Endowment (VLDB) Endowment, Issue annually, 2022
Publisher: ACM - Association for Computing Machinery
DOI: 10.14778/3551793.3551807

Predicting Ion Beam Tuning in Semiconductor Manufacturing

Author(s): Andreas Laber, Martin Gebser, Konstantin Schekotihin, Yao Yang
Published in: IEEE Electron Devices Society, Issue bi-annually, 2022
Publisher: IEEE

Data Management and Visualization for Benchmarking Deep Learning Training Systems

Author(s): Ties Robroek, Aaron Duane, Ehsan Yousefzadeh-Asl-Miandoab, Pınar Tözün
Published in: 6th International Workshop on Data Management for End-to-End Machine Learning, 2023, ISBN 979-8-4007-0204-4
Publisher: ACM - Association for Computing Machinery

BabelMR: A Polyglot Framework for Serverless MapReduce

Author(s): Fabian Mahling, Paul Rößler, Thomas Bodner and Tilmann Rabl
Published in: VLDBW -- SDA 23, 2023
Publisher: ACM - Association for Computing Machinery

VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition

Author(s): Li, Yang; Shen, Yu; Zhang, Wentao; Jiang, Jiawei; Ding, Bolin; Li, Yaliang; Zhou, Jingren; Yang, Zhi; Wu, Wentao; Zhang, Ce; Cui, Bin
Published in: Proceedings of the VLDB Endowment, 14 (11), Issue annually, 2021
Publisher: PVLDB

DAPHNE Runtime: Harnessing Parallelism for Integrated Data Analysis Pipelines

Author(s): Aristotelis Vontzalidis, Stratos Psomadakis, Constantinos Bitsakos, Mark Dokter, Kevin Innerebner, Patrick Damme, Matthias Boehm, Florina Ciorba, Ahmed Eleliemy, Vasileios Karakostas, Aleš Zamuda, and Dimitrios Tsoumakos
Published in: 29th International European Conference on Parallel and Distributed Computing 28 August – 1 September 2023 Limassol, Cyprus, 2024
Publisher: Springer

Ease. ML: A Lifecycle Management System for Machine Learning (opens in new window)

Author(s): Aguilar Melgar, Leonel; id_orcid0000-0001-6864-4492; Dao, David; Gan, Shaoduo; Gürel, Nezihe M.; Hollenstein, Nora; id_orcid0000-0001-7936-4170; Jiang, Jiawei; Karlaš, Bojan; Lemmin, Thomas; id_orcid0000-0001-5705-4964; Li, Tian; Li, Yang; Rao, Susie; id_orcid0000-0003-2379-1506; Rausch, Johannes; Renggli, Cedric; Rimanic, Luka; Weber, Maurice; Zhang, Shuai; id_orcid0000-0002-7866-4611; Zhao, Zh
Published in: Proceedings of the Annual Conference on Innovative Data Systems Research (CIDR), 2021, Issue annually, 2021
Publisher: CIDR 2021
DOI: 10.3929/ethz-b-000458916

Drop It In Like It’s Hot: An Analysis of Persistent Memory as a Drop-in Replacement for NVMe SSDs (opens in new window)

Author(s): Maximilian Böther, Otto Kißig, Lawrence Benson, Tilmann Rabl
Published in: International Workshop on Data Management on New Hardware (DAMON’21), Issue annually, 2021
Publisher: ACM SIGMOD/PODS
DOI: 10.1145/3465998.3466010

Efficiently Managing Deep Learning Models in a Distributed Environment (opens in new window)

Author(s): Nils Strassenburg, Ilin Tolovski, Tilmann Rabl
Published in: 25th International Conference on Extending Database Technology (EDBT), Issue annually, 2022
Publisher: OpenProceedings.org
DOI: 10.48786/edbt.2022.12

DaxVM: Stressing the Limits of Memory as a File Interface

Author(s): Chloe Averti, Vasileios Karakostas, Nikhita Kunati, Georgios Goumas, Michael Swift
Published in: MICRO 2022 - 55th IEEE/ACM International Synopsium on Microarchitecture, Issue annually, 2022
Publisher: ACM/IEEE

Loops of the Domain-specific Programming Language DaphneDSL

Author(s): Borko Boškovič, Janez Brest, Aleš Zamuda
Published in: 33rd International Electrotechnical and Computer Science Conference ERK 2024, 2024, ISSN 2591-0442
Publisher: Društvo Slovenska sekcija IEEE

A Resourceful Coordination Approach for Multilevel Scheduling

Author(s): Eleliemy, Ahmed; Ciorba, Florina M.
Published in: International Conference on High Performance Computing & Simulation (HPCS) 2021, Issue annual, 2021
Publisher: HPCS

In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle (opens in new window)

Author(s): Lijie Xu, Shuang Qiu, Binhang Yuan, Jiawei Jiang, Cedric Renggli, Shaoduo Gan, Kaan Kara, Guoliang Li, Ji Liu, Wentao Wu, Jieping Ye, Ce Zhang
Published in: Proceedings of the 2022 International Conference on Management of Data, 2023
Publisher: ACM
DOI: 10.1145/3514221.3526150

TPCx-AI on NVIDIA Jetsons

Author(s): Robert Bayer, Jon Voigt Tøttrup, and Pınar Tözün
Published in: Proceedings of the Fourteenth TPC Technology Conference on Performance Evaluation & Benchmarking, 2022
Publisher: ACM - Association for Computing Machinery

Amethyst - A Generalized on-the-Fly De/Re-compression Framework to Accelerate Data-Intensive Integer Operations on GPUs

Author(s): Johannes Fett, Dirk Habich, Wolfgang Lehner
Published in: ADBIS 2024, 2024
Publisher: Springer

RMG Sort: Radix-Partitioning-Based Multi-GPU Sorting

Author(s): Ivan Ilic, Ilin Tolovski, Tilmann Rabl
Published in: Datenbanksysteme für Business, Technologie und Web (BTW 2023), Issue bi-annually, 2023
Publisher: Springer

Viper: An Efficient Hybrid PMem-DRAM Key-Value Store

Author(s): Lawrence Benson, Hendrik Makait, Tilmann Rabl
Published in: 2021
Publisher: ACM

SIMD-MIMD cocktail in a hybrid memory glass (opens in new window)

Author(s): Mikhail Zarubin, Patrick Damme, Alexander Krause, Dirk Habich, Wolfgang Lehner
Published in: Proceedings of the 14th ACM International Conference on Systems and Storage, Issue 15, 2023, Page(s) 1-12
Publisher: ACM
DOI: 10.1145/3456727.3463782

Analyzing Vectorized Hash Tables Across CPU Architectures

Author(s): Maximilian Böther, Lawrence Benson, Ana Klimovic, Tilmann Rabl
Published in: VLDB23, 2023
Publisher: ACM - Association for Computer Machinery

DocParser: Hierarchical Document Structure Parsing from Renderings (opens in new window)

Author(s): Rausch, Johannes; Martinez, Octavio; Bissig, Fabian; Zhang, Ce; Feuerriegel, Stefan
Published in: Proceedings of the AAAI Conference on Artificial Intelligence, 35 (5), 2021, Page(s) 4328-4338, ISSN 2159-5399
Publisher: AAAI Press
DOI: 10.13039/501100000780

BAGUA: Scaling up Distributed Learning with System Relaxations

Author(s): Shaoduo Gan, Xiangru Lian, Rui Wang, Jianbin Chang, Chengjun Liu, Hongmei Shi, Shengzhuo Zhang, Xianghong Li, Tengxu Sun, Jiawei Jiang, Binhang Yuan, Sen Yang,
Published in: PVLDB, 2021, ISSN 2150-8097
Publisher: PVLDB

The urban morphology on our planet – Global perspectives from space (opens in new window)

Author(s): Xiao Xiang Zhu,Chunping, Qiu, Jingliang Hua, Yilei Shi, Yuanyuan Wang, Michael Schmitta, Hannes Taubenböck
Published in: Remote Sensing of Environment, Issue 16 volumes / year, 2021, ISSN 0034-4257
Publisher: Elsevier BV
DOI: 10.1016/j.rse.2021.112794

Micro-architectural analysis of in-memory OLTP: Revisited (opens in new window)

Author(s): Utku Sirin, Pınar Tözün, Danica Porobic, Ahmad Yasin, Anastasia Ailamaki
Published in: The VLDB Journal, Volume 30, Issue every other month, July 2021, 2021, ISSN 1066-8888
Publisher: Springer Verlag
DOI: 10.1007/s00778-021-00663-8

PerMA-bench

Author(s): Benson, Lawrence; Papke, Leon; Rabl, Tilmann
Published in: Proceedings of the Very Large Data Base Endowment (VLDB) Endowment, Issue annually, 2022, ISSN 2150-8097
Publisher: ACM - Association for Computing Machinery

Better Database Cost/Performance via Batched I/O on Programmable SSD (opens in new window)

Author(s): Jaeyoung Do, Ivan Luiz Picoli, David Lomet, Philippe Bonnet
Published in: Conference on Very Large Data Bases (VLDB Journal), Issue 18.2.2021, 2021, ISSN 1066-8888
Publisher: Springer Verlag
DOI: 10.1007/s00778-020-00648-z

LB4OMP: A Dynamic Load Balancing Library for Multithreaded Applications (opens in new window)

Author(s): Jonas H. Müller Korndörfer; Ahmed Eleliemy; Ali Mohammed; Florina M. Ciorba
Published in: IEEE Transactions on Parallel and Distributed Systems, Volume 33, Issue 4, 2021, Page(s) 830 - 841, ISSN 1045-9219
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tpds.2021.3107775

Automated Scheduling Algorithm Selection and Chunk Parameter Calculation in OpenMP

Author(s): Ali Mohammed, Jonas H. Müller Kornörfer, Ahmed Eleliemy, Florina M. Ciorba
Published in: IEEE Transactions on Parallel and Distributed Systems, Issue Volume: 33, Issue: 12, December 2022, 2022, ISSN 1045-9219
Publisher: Institute of Electrical and Electronics Engineers

Speeding up Vectorized Benchmarking of Optimization Algorithms

Author(s): Aleš Zamuda
Published in: Austrian-Slovenian HPC Meeting 2022 – ASHPC22, Issue annually, 2022
Publisher: EuroCC Austria

Don’t Compete, Let’s Cooperate: A Cooperative Scheduling Approach

Author(s): Ahmed Eleliemy, Florina M. Ciorba
Published in: Platform for Advancing Scientific Computing Conference, 2021
Publisher: PASC

Simplicity done right for SIMDified query processing on CPU and FPGA

Author(s): Johannes Fett, Urs Kober, Christian Schwarz, Dirk Habich, Wolfgang Lehner
Published in: ACM SIGMOD/PODS, 2023, ISBN 9798400707834
Publisher: ACM SIGMOD/PODS

CleanML: A Study for Evaluating the Impact of Data Cleaning on ML Classification Tasks (opens in new window)

Author(s): Li Peng, Rao Xi, Jennifer Blase, Xu Chu, Yue Zhang, Ce Zhang
Published in: DeGNN, 2020
Publisher: ETH Zurich, Institute for Computing Platforms
DOI: 10.13039/501100001711

Single- and Two-Level Dynamic Load Balancing of Scientific Applications

Author(s): Ahmed Eleliemy, Florina M. Ciorba
Published in: Platform for Advancing Scientific Computing Conference, 2021
Publisher: PASC

Autonomy Loops for Monitoring, Operational Data Analytics, Feedback, and Response in HPC Operations

Author(s): Francieli Boito, Jim Brandt, Valeria Cardellini, Philip Carns, Florina M. Ciorba, Hilary Egan, Ahmed Eleliemy, Ann Gentile, Thomas Gruber, Jeff Hanson, Utz-Uwe Haus, Kevin Huck, Thomas Ilsche, Thomas Jakobsche, Terry Jones, Sven Karlsson, Abdullah Mueen, Michael Ott, Tapasya Patki, Krishnan Raghavan, Stephen Simms, Kathleen Shoga, Michael Showerman, Devesh Tiwari, Torsten Wilde, Ivy Peng, and Keij
Published in: HPCMASPA workshop at IEEE Cluster 2023, Issue annually, 2023
Publisher: IEEE

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