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

Risultati finali

Initial prototype of benchmarking toolkit

Prototype of benchmark toolkit for runtime tracing and performance analysis.

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

Improved prototype of pipeline, task, and parameter server scheduling

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

Software artifact of the initial compiler prototype

Prototype and overview HW accelerator support and performance models

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

DSL runtime prototype

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

Prototype of pipelines and task scheduling mechanisms

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

Prototype and overview of managed storage tiers and near-data processing

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

Prototype and overview code generation framework

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

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

2nd Annual Project Report

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

DSL runtime design

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

Initial System Architecture

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

Compiler Design and Overview

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

Initial benchmark concept and definition

Report on the DaphneBench concept and detailed benchmark specification.

Scheduler design for pipelines and tasks

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

3rd Annual Project Report

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

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

Initial pipeline definition all use cases

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

Language Design Specification

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

Refined System Architecture

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

Design of integration HW accelerators

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

Report on search space analysis, automatic capability configuration

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

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

Improved pipelines all use case studies

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

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

Pubblicazioni

DaphneSched: A Scheduler for Integrated Data Analysis Pipelines

Autori: Ahmed Eleliemy, Florina M. Ciorba
Pubblicato in: ISPDC23; IEEE, 2023
Editore: ISPDC23; IEEE

I/O Interface Independence with xNVMe

Autori: Simon Lund, Philippe Bonnet, Klaus Jensen, Javier Gonzalez
Pubblicato in: Proceedings of the 15th ACM International Systems and Storage Conference, Numero annually, 2022
Editore: ACM - Association for Computing Machinery

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

Autori: 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
Pubblicato in: Conference on Innovative Data Systems Research, CIDR, Numero 9.1.2022-12.1.2022, 2022
Editore: Conference on Innovative Data Systems Research, CIDR

Micro-architectural Analysis of a Learned Index

Autori: Mikkel Møller Andersen, Pınar Tözün
Pubblicato in: Proceedings of the International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, Numero annually, 2022
Editore: ACM - Association for Computing Machinery
DOI: 10.1145/3533702.3534917

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

Autori: Alberto Lerner, Philippe Bonnet
Pubblicato in: Proceedings of the 2021 International Conference on Management of Data, 2021
Editore: ACM

Evaluating Multi-GPU Sorting with Modern Interconnects

Autori: Tobias Maltenberger, Ivan Ilic, Ilin Tolovski, Tilmann Rabl
Pubblicato in: Proceedings of the 2022 International Conference on Management of Data (SIGMOD ’22), Numero annually, 2022
Editore: ACM - Association for Computing Machinery

Efficient Multi-Model Management

Autori: Nils Strassenburg, Dominic Kupfer, Julia Kowal, Tilmann Rabl
Pubblicato in: 26th International Conference on Extending Database Technology (EDBT), Numero annually, 2023
Editore: OpenProceedings.org

Enabling Integrated Data Analysis Pipelines on Heterogeneous Hardware through Holistic Extensibility

Autori: Patrick Damme, Matthias Boehm
Pubblicato in: 2nd Workshop on Novel Data Management Ideas on Heterogeneous Hardware Architectures (NoDMC), 2023
Editore: Gesellschaft für Informatik

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

Autori: Nina Ihde, Paula Marten, Ahmed Eleliemy, Gabrielle Poerwawinata, Pedro Silva, Ilin Tolovski, Florina M. Ciorba, Tilmann Rabl
Pubblicato in: Proceedings of the Thirteenth TPC Technology Conference on Performance Evaluation & Benchmarking, 2021
Editore: Springer

Delilah: eBPF-offload on computational storage

Autori: Niclas Hedam, Morten Tychsen Clausen, Philippe Bonnet, Sangjin Lee, Ken Friis Larsen
Pubblicato in: 19th International Workshop on Data Management on New Hardware (DaMoN), Numero annually, 2023
Editore: 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)

Autori: Aleš Zamuda
Pubblicato in: Proceedings of the Austrian-Slovenian HPC Meeting 2021 - ASHPC21, 2021, ISBN 978-961-6980-77-7
Editore: University of Ljubljana

DeGNN: Improving Graph Neural Networks with Graph Decomposition

Autori: 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
Pubblicato in: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD '21), Numero annually, 2021
Editore: ACM

Accelerating Parallel Operation for Compacting Selected Elements on GPUs

Autori: Johannes Fett, Urs Kober, Christian Schwarz, Dirk Habich, Wolfgang Lehner
Pubblicato in: Euro-Par2022, Numero annually, 2022, ISBN 9798400707834
Editore: 28th International European Conference on Parallel and Distributed Computing

Evaluating In-Memory Hash Joins on Persistent Memory

Autori: Tobias Maltenberger, Till Lehmann, Lawrence Benson, Tilmann Rabl
Pubblicato in: 25th International Conference on Extending Database Technology (EDBT), Numero annually, 2022
Editore: OpenProceedings.org
DOI: 10.48786/edbt.2022.23

Evaluating SIMD Compiler-Intrinsics for Database Systems

Autori: Lawrence Benson, Richard Ebeling and Tilmann Rabl
Pubblicato in: VLDBW -- ADMS 23, 2023
Editore: ACM - Association for Computing Machinery

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

Autori: Christoph Brücke, Philipp Härtling, Rodrigo D Escobar Palacios, Hamesh Patel and Tilmann Rabl
Pubblicato in: 2023
Editore: VLDB23; ACM - Association for Computing Machinery

Desis: Efficient Window Aggregation in Decentralized Networks

Autori: Wang Yue, Lawrence Benson, Tilmann Rabl
Pubblicato in: 26th International Conference on Extending Database Technology (EDBT), Numero annually, 2023
Editore: OpenProceedings.org

Darwin: Scale-In Stream Processing

Autori: Lawrence Benson, Tilmann Rabl
Pubblicato in: Conference on Innovative Data Systems Research, CIDR 22, Numero annually, 2022
Editore: Conference on Innovative Data Systems Research, CIDR 22

Analyzing Vectorized Hash Tables across CPU Architectures

Autori: Maximilian Böther; Lawrence Benson; Ana Klimovic; Tilmann Rabl
Pubblicato in: Proceedings of the VLDB Endowment, 16 (11), Numero 25, 2023
Editore: 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

Autori: Nataša Ošep Ferš, Aleš Zamuda
Pubblicato in: IEEE Slovenia Section, Numero annually, 2021
Editore: IEEE

Maximizing Persistent Memory Bandwidth Utilization for OLAP Workloads

Autori: Björn Daase, Lars Jonas Bollmeier, Lawrence Benson, Tilmann Rabl
Pubblicato in: Proceedings of the 2021 International Conference on Management of Data (SIGMOD 2021), 2021
Editore: ACM

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

Autori: Aleš Zamuda
Pubblicato in: Proceedings of the 17th International Symposium on Operational Research in Slovenia, Numero bi-annually, 2023, ISBN 978-961-6165-61-7
Editore: Slovenian Society INFORMATIKA – Section for Operational Research

DaphneSched: A Scheduler for Integrated Data Analysis Pipelines

Autori: Ahmed Eleliemy, Florina M. Ciorba, Jonas H. Müller Korndörfer
Pubblicato in: ISPDC23, 2023
Editore: ISPDC23

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

Autori: Jonas H. Müller Korndorfer, Ahmed Eleliemy, Osman Simsek, Thomas Ilsche, Robert Schöne, Florina M. Ciorba
Pubblicato in: Springer, 2023, ISBN 978-3-031-39697-7
Editore: Euro-Par 2023

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

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

PerMA-Bench: Benchmarking Persistent Memory Access

Autori: Benson, Lawrence and Papke, Leon and Rabl, Tilmann
Pubblicato in: Proceedings of the Very Large Data Base Endowment (VLDB) Endowment, Numero annually, 2022
Editore: ACM - Association for Computing Machinery
DOI: 10.14778/3551793.3551807

Predicting Ion Beam Tuning in Semiconductor Manufacturing

Autori: Andreas Laber, Martin Gebser, Konstantin Schekotihin, Yao Yang
Pubblicato in: IEEE Electron Devices Society, Numero bi-annually, 2022
Editore: IEEE

BabelMR: A Polyglot Framework for Serverless MapReduce

Autori: Fabian Mahling, Paul Rößler, Thomas Bodner and Tilmann Rabl
Pubblicato in: VLDBW -- SDA 23, 2023
Editore: ACM - Association for Computing Machinery

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

Autori: Li, Yang; Shen, Yu; Zhang, Wentao; Jiang, Jiawei; Ding, Bolin; Li, Yaliang; Zhou, Jingren; Yang, Zhi; Wu, Wentao; Zhang, Ce; Cui, Bin
Pubblicato in: Proceedings of the VLDB Endowment, 14 (11), Numero annually, 2021
Editore: PVLDB

Ease. ML: A Lifecycle Management System for Machine Learning

Autori: 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
Pubblicato in: Proceedings of the Annual Conference on Innovative Data Systems Research (CIDR), 2021, Numero 1, 2021
Editore: 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

Autori: Maximilian Böther, Otto Kißig, Lawrence Benson, Tilmann Rabl
Pubblicato in: International Workshop on Data Management on New Hardware (DAMON’21), 2021
Editore: ACM SIGMOD/PODS

Efficiently Managing Deep Learning Models in a Distributed Environment

Autori: Nils Strassenburg, Ilin Tolovski, Tilmann Rabl
Pubblicato in: 25th International Conference on Extending Database Technology (EDBT), Numero annually, 2022
Editore: OpenProceedings.org
DOI: 10.48786/edbt.2022.12

DaxVM: Stressing the Limits of Memory as a File Interface

Autori: Chloe Averti, Vasileios Karakostas, Nikhita Kunati, Georgios Goumas, Michael Swift
Pubblicato in: MICRO 2022 - 55th IEEE/ACM International Synopsium on Microarchitecture, Numero annually, 2022
Editore: ACM/IEEE

A Resourceful Coordination Approach for Multilevel Scheduling

Autori: Eleliemy, Ahmed; Ciorba, Florina M.
Pubblicato in: International Conference on High Performance Computing & Simulation (HPCS) 2021, Numero annual, 2021
Editore: HPCS

TPCx-AI on NVIDIA Jetsons

Autori: Robert Bayer, Jon Voigt Tøttrup, and Pınar Tözün
Pubblicato in: Proceedings of the Fourteenth TPC Technology Conference on Performance Evaluation & Benchmarking, 2022
Editore: ACM - Association for Computing Machinery

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

Autori: Ivan Ilic, Ilin Tolovski, Tilmann Rabl
Pubblicato in: Datenbanksysteme für Business, Technologie und Web (BTW 2023), Numero bi-annually, 2023
Editore: Springer

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

Autori: Lawrence Benson, Hendrik Makait, Tilmann Rabl
Pubblicato in: 2021
Editore: ACM

Analyzing Vectorized Hash Tables Across CPU Architectures

Autori: Maximilian Böther, Lawrence Benson, Ana Klimovic, Tilmann Rabl
Pubblicato in: VLDB23, 2023
Editore: ACM - Association for Computer Machinery

DocParser: Hierarchical Document Structure Parsing from Renderings

Autori: Rausch, Johannes; Martinez, Octavio; Bissig, Fabian; Zhang, Ce; Feuerriegel, Stefan
Pubblicato in: Proceedings of the AAAI Conference on Artificial Intelligence, 35 (5), 2021, Pagina/e 4328-4338, ISSN 2159-5399
Editore: AAAI Press
DOI: 10.13039/501100000780

BAGUA: Scaling up Distributed Learning with System Relaxations

Autori: Shaoduo Gan, Xiangru Lian, Rui Wang, Jianbin Chang, Chengjun Liu, Hongmei Shi, Shengzhuo Zhang, Xianghong Li, Tengxu Sun, Jiawei Jiang, Binhang Yuan, Sen Yang,
Pubblicato in: PVLDB, 2021, ISSN 2150-8097
Editore: PVLDB

The urban morphology on our planet – Global perspectives from space

Autori: Xiao Xiang Zhu,Chunping, Qiu, Jingliang Hua, Yilei Shi, Yuanyuan Wang, Michael Schmitta, Hannes Taubenböck
Pubblicato in: Remote Sensing of Environment, Numero 16 volumes / year, 2021, ISSN 0034-4257
Editore: Elsevier BV
DOI: 10.1016/j.rse.2021.112794

Micro-architectural analysis of in-memory OLTP: Revisited

Autori: Utku Sirin, Pınar Tözün, Danica Porobic, Ahmad Yasin, Anastasia Ailamaki
Pubblicato in: The VLDB Journal, Volume 30, Numero every other month, July 2021, 2021, ISSN 1066-8888
Editore: Springer Verlag
DOI: 10.1007/s00778-021-00663-8

PerMA-bench

Autori: Benson, Lawrence; Papke, Leon; Rabl, Tilmann
Pubblicato in: Proceedings of the Very Large Data Base Endowment (VLDB) Endowment, Numero annually, 2022, ISSN 2150-8097
Editore: ACM - Association for Computing Machinery

Better Database Cost/Performance via Batched I/O on Programmable SSD

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

LB4OMP: A Dynamic Load Balancing Library for Multithreaded Applications

Autori: Jonas H. Müller Korndörfer; Ahmed Eleliemy; Ali Mohammed; Florina M. Ciorba
Pubblicato in: IEEE Transactions on Parallel and Distributed Systems, Volume 33, Numero 4, 2021, Pagina/e 830 - 841, ISSN 1045-9219
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tpds.2021.3107775

Automated Scheduling Algorithm Selection and Chunk Parameter Calculation in OpenMP

Autori: Ali Mohammed, Jonas H. Müller Kornörfer, Ahmed Eleliemy, Florina M. Ciorba
Pubblicato in: IEEE Transactions on Parallel and Distributed Systems, Numero Volume: 33, Numero: 12, December 2022, 2022, ISSN 1045-9219
Editore: Institute of Electrical and Electronics Engineers

Speeding up Vectorized Benchmarking of Optimization Algorithms

Autori: Aleš Zamuda
Pubblicato in: Austrian-Slovenian HPC Meeting 2022 – ASHPC22, Numero annually, 2022
Editore: EuroCC Austria

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

Autori: Ahmed Eleliemy, Florina M. Ciorba
Pubblicato in: Platform for Advancing Scientific Computing Conference, 2021
Editore: PASC

Simplicity done right for SIMDified query processing on CPU and FPGA

Autori: Johannes Fett, Urs Kober, Christian Schwarz, Dirk Habich, Wolfgang Lehner
Pubblicato in: ACM SIGMOD/PODS, 2023, ISBN 9798400707834
Editore: ACM SIGMOD/PODS

CleanML: A Study for Evaluating the Impact of Data Cleaning on ML Classification Tasks

Autori: Li Peng, Rao Xi, Jennifer Blase, Xu Chu, Yue Zhang, Ce Zhang
Pubblicato in: DeGNN, 2020
Editore: ETH Zurich, Institute for Computing Platforms
DOI: 10.13039/501100001711

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

Autori: Ahmed Eleliemy, Florina M. Ciorba
Pubblicato in: Platform for Advancing Scientific Computing Conference, 2021
Editore: PASC

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

Autori: 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
Pubblicato in: HPCMASPA workshop at IEEE Cluster 2023, Numero annually, 2023
Editore: IEEE

Risultati finali

Pubblicazioni

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