default search action
Dalvan Griebler
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
- [j28]Dinei A. Rockenbach
, Gabriell Alves de Araujo, Dalvan Griebler
GSParLib: A multi-level programming interface unifying OpenCL and CUDA for expressing stream and data parallelism. Comput. Stand. Interfaces 92: 103922 (2025) - 2024
- [j27]Renato B. Hoffmann
Benchmarking parallel programming for single-board computers. Future Gener. Comput. Syst. 161: 119-134 (2024) - [j26]Gabriele Mencagli, Massimo Torquati, Dalvan Griebler
General-purpose data stream processing on heterogeneous architectures with WindFlow. J. Parallel Distributed Comput. 184: 104782 (2024) - [j25]Adriano Marques Garcia
Performance and programmability of GrPPI for parallel stream processing on multi-cores. J. Supercomput. 80(9): 12966-13000 (2024) - [j24]Adriano Vogel
Enhancing self-adaptation for efficient decision-making at run-time in streaming applications on multicores. J. Supercomput. 80(15): 22213-22244 (2024) - [c53]Carlos Falcão de Azevedo Gomes, Adriel Silva de Araújo, Sunna Imtiaz Ahmad, Maurício Cecílio Magnaguagno, Vinicius Crisosthemos Teixeira, Anushri Singh Rajapuri, Quinn Roederer, Dalvan Griebler, Vinicius Dutra, Hakan Turkkahraman, Márcio Sarroglia Pinho:
Multiview Machine Learning Classification of Tooth Extraction in Orthodontics Using Intraoral Scans. COMPSAC 2024: 1977-1982 - [c52]Júnior Löff
MPR: An MPI Framework for Distributed Self-adaptive Stream Processing. Euro-Par (3) 2024: 400-414 - 2023
- [j23]Adriano Vogel
Online and transparent self-adaptation of stream parallel patterns. Computing 105(5): 1039-1057 (2023) - [j22]Adriano Marques Garcia
SPBench: a framework for creating benchmarks of stream processing applications. Computing 105(5): 1077-1099 (2023) - [j21]Gabriella Andrade
A parallel programming assessment for stream processing applications on multi-core systems. Comput. Stand. Interfaces 84: 103691 (2023) - [j20]August Ernstsson
Assessing Application Efficiency and Performance Portability in Single-Source Programming for Heterogeneous Parallel Systems. Int. J. Parallel Program. 51(1): 61-82 (2023) - [j19]Gabriell Alves de Araujo, Dalvan Griebler
NAS Parallel Benchmarks with CUDA and beyond. Softw. Pract. Exp. 53(1): 53-80 (2023) - [j18]Adriano Marques Garcia
Micro-batch and data frequency for stream processing on multi-cores. J. Supercomput. 79(8): 9206-9244 (2023) - [c51]Ricardo Leonarczyk
Evaluation of Adaptive Micro-batching Techniques for GPU-Accelerated Stream Processing. Euro-Par Workshops (1) 2023: 81-92 - [c50]Adriano Vogel
Revisiting self-adaptation for efficient decision-making at run-time in parallel executions. PDP 2023: 43-50 - [c49]Adriano Marques Garcia
A Latency, Throughput, and Programmability Perspective of GrPPI for Streaming on Multi-cores. PDP 2023: 164-168 - [c48]Renato B. Hoffmann, Leonardo G. Faé, Isabel H. Manssour, Dalvan Griebler
Analyzing C++ Stream Parallelism in Shared-Memory when Porting to Flink and Storm. SBAC-PADW 2023: 46-53 - [c47]Anderson M. Maliszewski, Dalvan Griebler
Evaluation Model and Performance Analysis of NIC Aggregations in Containerized Private Clouds. SBAC-PADW 2023: 101-107 - [c46]Tiago C. Ferreto, Dalvan Griebler
Message from the General Chairs. SBAC-PAD 2023: ix - [c45]Leonardo G. Faé
Source-to-Source Code Transformation on Rust for High-Level Stream Parallelism. SBLP 2023: 41-49 - 2022
- [j17]Adriano Vogel
Self-adaptation on parallel stream processing: A systematic review. Concurr. Comput. Pract. Exp. 34(6) (2022) - [j16]Júnior Löff
DSParLib: A C++ Template Library for Distributed Stream Parallelism. Int. J. Parallel Program. 50(5-6): 454-485 (2022) - [j15]Renato B. Hoffmann, Júnior Löff
OpenMP as runtime for providing high-level stream parallelism on multi-cores. J. Supercomput. 78(6): 7655-7676 (2022) - [j14]Júnior Löff
Combining stream with data parallelism abstractions for multi-cores. J. Comput. Lang. 73: 101160 (2022) - [c44]Gabriella Andrade, Dalvan Griebler
Analyzing Programming Effort Model Accuracy of High-Level Parallel Programs for Stream Processing. SEAA 2022: 229-232 - [c43]Adriano Marques Garcia
Evaluating Micro-batch and Data Frequency for Stream Processing Applications on Multi-cores. PDP 2022: 10-17 - [c42]Gabriele Mencagli, Dalvan Griebler
Towards Parallel Data Stream Processing on System-on-Chip CPU+GPU Devices. PDP 2022: 34-38 - [c41]Dinei A. Rockenbach
High-Level Stream and Data Parallelism in C++ for GPUs. SBLP 2022: 41-49 - [c40]Vitor Barth
Open Source Augmented Reality in Data Center Infrastructure Maintenance. SVR 2022: 151-156 - 2021
- [j13]Márcio Miguel Gomes
Simplifying IoT data stream enrichment and analytics in the edge. Comput. Electr. Eng. 92: 107110 (2021) - [j12]Charles Michael Stein, Dinei A. Rockenbach
Latency-aware adaptive micro-batching techniques for streamed data compression on graphics processing units. Concurr. Comput. Pract. Exp. 33(11) (2021) - [j11]Júnior Löff
The NAS Parallel Benchmarks for evaluating C++ parallel programming frameworks on shared-memory architectures. Future Gener. Comput. Syst. 125: 743-757 (2021) - [j10]Adriano Vogel
Providing high-level self-adaptive abstractions for stream parallelism on multicores. Softw. Pract. Exp. 51(6): 1194-1217 (2021) - [j9]Ricardo Pieper, Júnior Löff
High-level and efficient structured stream parallelism for rust on multi-cores. J. Comput. Lang. 65: 101054 (2021) - [c39]Gabriella Andrade, Dalvan Griebler
Assessing Coding Metrics for Parallel Programming of Stream Processing Programs on Multi-cores. SEAA 2021: 291-295 - [c38]Adriano Marques Garcia
Introducing a Stream Processing Framework for Assessing Parallel Programming Interfaces. PDP 2021: 84-88 - [c37]Adriano Vogel
Towards On-the-fly Self-Adaptation of Stream Parallel Patterns. PDP 2021: 89-93 - [c36]Junior Loff
High-Level Stream and Data Parallelism in C++ for Multi-Cores. SBLP 2021: 41-48 - [d2]Júnior Löff
NPB-CPP: NAS Parallel Benchmarks for evaluating C++ parallel programming frameworks on shared-memory architectures. Zenodo, 2021 - 2020
- [j8]Maycon Viana Bordin, Dalvan Griebler
DSPBench: A Suite of Benchmark Applications for Distributed Data Stream Processing Systems. IEEE Access 8: 222900-222917 (2020) - [j7]Dalvan Griebler
Simplifying and implementing service level objectives for stream parallelism. J. Supercomput. 76(6): 4603-4628 (2020) - [c35]Adriano Marques Garcia
The Impact of CPU Frequency Scaling on Power Consumption of Computing Infrastructures. ICCSA (6) 2020: 142-157 - [c34]Anderson M. Maliszewski
Performance Impact of IEEE 802.3ad in Container-Based Clouds for HPC Applications. ICCSA (6) 2020: 158-167 - [c33]Anderson M. Maliszewski, Eduardo Roloff, Emmanuell D. Carreño, Dalvan Griebler
Performance and Cost-aware HPC in Clouds: A Network Interconnection Assessment. ISCC 2020: 1-6 - [c32]Gabriell Alves de Araujo, Dalvan Griebler
Efficient NAS Parallel Benchmark Kernels with CUDA. PDP 2020: 9-16 - [c31]Renato B. Hoffmann, Dalvan Griebler
Stream Parallelism Annotations for Multi-Core Frameworks. SBLP 2020: 48-55
2010 – 2019
- 2019
- [j6]Gabriele Mencagli
Raising the Parallel Abstraction Level for Streaming Analytics Applications. IEEE Access 7: 131944-131961 (2019) - [j5]Dalvan Griebler
High-Level and Productive Stream Parallelism for Dedup, Ferret, and Bzip2. Int. J. Parallel Program. 47(2): 253-271 (2019) - [j4]Gabriel Souto Fischer
Towards Evaluating Proactive and Reactive Approaches on Reorganizing Human Resources in IoT-Based Smart Hospitals. Sensors 19(17): 3800 (2019) - [j3]Dalvan Griebler
Stream parallelism with ordered data constraints on multi-core systems. J. Supercomput. 75(8): 4042-4061 (2019) - [c30]Adriano Vogel
Minimizing Self-adaptation Overhead in Parallel Stream Processing for Multi-cores. Euro-Par Workshops 2019: 30-41 - [c29]Dinei A. Rockenbach
Stream Processing on Multi-cores with GPUs: Parallel Programming Models' Challenges. IPDPS Workshops 2019: 834-841 - [c28]Anderson M. Maliszewski, Adriano Vogel
Minimizing Communication Overheads in Container-based Clouds for HPC Applications. ISCC 2019: 1-6 - [c27]Adriano Vogel
Seamless Parallelism Management for Video Stream Processing on Multi-Cores. PARCO 2019: 533-542 - [c26]Dinei A. Rockenbach
High-Level Stream Parallelism Abstractions with SPar Targeting GPUs. PARCO 2019: 543-552 - [c25]Carlos A. F. Maron, Adriano Vogel
Should PARSEC Benchmarks be More Parametric? A Case Study with Dedup. PDP 2019: 217-221 - [c24]Matheus S. Serpa
Memory Performance and Bottlenecks in Multicore and GPU Architectures. PDP 2019: 233-236 - [c23]Charles Michael Stein, Dalvan Griebler
Stream Parallelism on the LZSS Data Compression Application for Multi-Cores with GPUs. PDP 2019: 247-251 - [c22]Ricardo Pieper, Dalvan Griebler
Structured Stream Parallelism for Rust. SBLP 2019: 54-61 - 2018
- [c21]Adriano Vogel
Autonomic and Latency-Aware Degree of Parallelism Management in SPar. Euro-Par Workshops 2018: 28-39 - [c20]Dalvan Griebler
Service Level Objectives via C++11 Attributes. Euro-Par Workshops 2018: 745-756 - [c19]Anderson M. Maliszewski, Dalvan Griebler
The NAS Benchmark Kernels for Single and Multi-Tenant Cloud Instances with LXC/KVM. HPCS 2018: 359-366 - [c18]Dalvan Griebler
Performance of Data Mining, Media, and Financial Applications under Private Cloud Conditions. ISCC 2018: 450-456 - [c17]Cassiano Rista, Marcelo Teixeira
Evaluating, Estimating, and Improving Network Performance in Container-based Clouds. ISCC 2018: 514-520 - [c16]Dalvan Griebler
Efficient NAS Benchmark Kernels with C++ Parallel Programming. PDP 2018: 733-740 - [c15]Adriano Vogel
Parallel Stream Processing with MPI for Video Analytics and Data Visualization. WSCAD (Selected Papers) 2018: 102-116 - [c14]Endrius Ewald, Adriano Vogel
Parallel and Distributed Processing Support for a Geospatial Data Visualization DSL. WSCAD 2018: 221-228 - [c13]Anderson Mattheus Maliszewski, Dalvan Griebler
On the Performance of Multithreading Applications under Private Cloud Conditions. WSCAD 2018: 273 - [d1]Dalvan Griebler, Junior Loff, Gabriele Mencagli, Marco Danelutto
Efficient NAS Benchmark Kernels with C++ Parallel Programming Frameworks for Multi-Cores. Zenodo, 2018 - 2017
- [j2]Dalvan Griebler
SPar: A DSL for High-Level and Productive Stream Parallelism. Parallel Process. Lett. 27(1): 1740005:1-1740005:20 (2017) - [c12]Cleverson Ledur, Dalvan Griebler
A High-Level DSL for Geospatial Visualizations with Multi-core Parallelism Support. COMPSAC (1) 2017: 298-304 - [c11]Cassiano Rista, Dalvan Griebler
Improving the Network Performance of a Container-Based Cloud Environment for Hadoop Systems. HPCS 2017: 619-626 - [c10]Dalvan Griebler
Towards Distributed Parallel Programming Support for the SPar DSL. PARCO 2017: 563-572 - [c9]Dalvan Griebler
Higher-Level Parallelism Abstractions for Video Applications with SPar. PARCO 2017: 698-707 - [c8]Adriano Vogel
An Intra-Cloud Networking Performance Evaluation on CloudStack Environment. PDP 2017: 468-472 - 2016
- [b1]Dalvan Griebler:
Domain-specific language & support tools for high-level stream parallelism. Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, Brazil, 2016 - [c7]Adriano Vogel
Private IaaS Clouds: A Comparative Analysis of OpenNebula, CloudStack and OpenStack. PDP 2016: 672-679 - 2015
- [j1]Daniel Couto Adornes, Dalvan Griebler
Coding Productivity in MapReduce Applications for Distributed and Shared Memory Architectures. Int. J. Softw. Eng. Knowl. Eng. 25(9-10): 1739-1742 (2015) - [c6]Cleverson Ledur, Dalvan Griebler
Towards a Domain-Specific Language for geospatial data visualization maps with Big Data sets. AICCSA 2015: 1-8 - [c5]Dalvan Griebler
An Embedded C++ Domain-Specific Language for Stream Parallelism. PARCO 2015: 317-326 - [c4]Daniel Couto Adornes, Dalvan Griebler
A Unified MapReduce Domain-Specific Language for Distributed and Shared Memory Architectures. SEKE 2015: 619-624 - 2014
- [c3]Fernando Rui, Márcio Castro
Evaluating the Impact of Transactional Characteristics on the Performance of Transactional Memory Applications. PDP 2014: 93-97 - [c2]Dalvan Griebler, Daniel Couto Adornes, Luiz Gustavo Fernandes:
Performance and Usability Evaluation of a Pattern-Oriented Parallel Programming Interface for Multi-Core Architectures. SEKE 2014: 25-30 - 2013
- [c1]Dalvan Griebler
Towards a Domain-Specific Language for Patterns-Oriented Parallel Programming. SBLP 2013: 105-119
Coauthor Index
[j28] [j27] [j25] [j24] [c52] [j23] [j22] [j21] [j19] [j18] [c50] [c49] [j17] [j16] [j15] [j14] [c44] [c43] [c41] [j12] [j11] [j10] [j9] [c39] [c38] [c37] [c36] [d2] [j8] [j7] [c35] [c32] [c31] [j6] [j5] [j3] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [d1] [j2] [c12] [c11] [c10] [c9] [c8] [c7] [j1] [c6] [c5] [c4] [c3] [c2] [c1]
Anderson M. Maliszewski
aka: Anderson Mattheus Maliszewski
aka: Anderson Mattheus Maliszewski
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-23 20:31 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: