Dalvan Griebler

Orcid: 0000-0002-4690-3964

According to our database1, Dalvan Griebler authored at least 84 papers between 2013 and 2025.

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Bibliography

2025
GSParLib: A multi-level programming interface unifying OpenCL and CUDA for expressing stream and data parallelism.
Comput. Stand. Interfaces, 2025

2024
Enhancing self-adaptation for efficient decision-making at run-time in streaming applications on multicores.
J. Supercomput., October, 2024

Performance and programmability of GrPPI for parallel stream processing on multi-cores.
J. Supercomput., June, 2024

General-purpose data stream processing on heterogeneous architectures with WindFlow.
J. Parallel Distributed Comput., February, 2024

Benchmarking parallel programming for single-board computers.
Future Gener. Comput. Syst., 2024

MPR: An MPI Framework for Distributed Self-adaptive Stream Processing.
Proceedings of the Euro-Par 2024: Parallel Processing, 2024

Multiview Machine Learning Classification of Tooth Extraction in Orthodontics Using Intraoral Scans.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

2023
Micro-batch and data frequency for stream processing on multi-cores.
J. Supercomput., May, 2023

Online and transparent self-adaptation of stream parallel patterns.
Computing, May, 2023

SPBench: a framework for creating benchmarks of stream processing applications.
Computing, May, 2023

Assessing Application Efficiency and Performance Portability in Single-Source Programming for Heterogeneous Parallel Systems.
Int. J. Parallel Program., February, 2023

NAS Parallel Benchmarks with CUDA and beyond.
Softw. Pract. Exp., 2023

A parallel programming assessment for stream processing applications on multi-core systems.
Comput. Stand. Interfaces, 2023

Source-to-Source Code Transformation on Rust for High-Level Stream Parallelism.
Proceedings of the XXVII Brazilian Symposium on Programming Languages, 2023

Evaluation Model and Performance Analysis of NIC Aggregations in Containerized Private Clouds.
Proceedings of the International Symposium on Computer Architecture and High Performance Computing Workshops , 2023

Analyzing C++ Stream Parallelism in Shared-Memory when Porting to Flink and Storm.
Proceedings of the International Symposium on Computer Architecture and High Performance Computing Workshops , 2023

Message from the General Chairs.
Proceedings of the 35th IEEE International Symposium on Computer Architecture and High Performance Computing, 2023

Revisiting self-adaptation for efficient decision-making at run-time in parallel executions.
Proceedings of the 31st Euromicro International Conference on Parallel, 2023

A Latency, Throughput, and Programmability Perspective of GrPPI for Streaming on Multi-cores.
Proceedings of the 31st Euromicro International Conference on Parallel, 2023

Evaluation of Adaptive Micro-batching Techniques for GPU-Accelerated Stream Processing.
Proceedings of the Euro-Par 2023: Parallel Processing Workshops - Euro-Par 2023 International Workshops, Limassol, Cyprus, August 28, 2023

2022
Combining stream with data parallelism abstractions for multi-cores.
J. Comput. Lang., 2022

OpenMP as runtime for providing high-level stream parallelism on multi-cores.
J. Supercomput., 2022

DSParLib: A C++ Template Library for Distributed Stream Parallelism.
Int. J. Parallel Program., 2022

Self-adaptation on parallel stream processing: A systematic review.
Concurr. Comput. Pract. Exp., 2022

Open Source Augmented Reality in Data Center Infrastructure Maintenance.
Proceedings of the 24th Symposium on Virtual and Augmented Reality, 2022

High-Level Stream and Data Parallelism in C++ for GPUs.
Proceedings of the SBLP 2022: XXVI Brazilian Symposium on Programming Languages, Virtual Event Brazil, October 6, 2022

Towards Parallel Data Stream Processing on System-on-Chip CPU+GPU Devices.
Proceedings of the 30th Euromicro International Conference on Parallel, 2022

Evaluating Micro-batch and Data Frequency for Stream Processing Applications on Multi-cores.
Proceedings of the 30th Euromicro International Conference on Parallel, 2022

Analyzing Programming Effort Model Accuracy of High-Level Parallel Programs for Stream Processing.
Proceedings of the 48th Euromicro Conference on Software Engineering and Advanced Applications, 2022

2021
NPB-CPP: NAS Parallel Benchmarks for evaluating C++ parallel programming frameworks on shared-memory architectures.
Dataset, August, 2021

High-level and efficient structured stream parallelism for rust on multi-cores.
J. Comput. Lang., 2021

Providing high-level self-adaptive abstractions for stream parallelism on multicores.
Softw. Pract. Exp., 2021

The NAS Parallel Benchmarks for evaluating C++ parallel programming frameworks on shared-memory architectures.
Future Gener. Comput. Syst., 2021

Latency-aware adaptive micro-batching techniques for streamed data compression on graphics processing units.
Concurr. Comput. Pract. Exp., 2021

Simplifying IoT data stream enrichment and analytics in the edge.
Comput. Electr. Eng., 2021

High-Level Stream and Data Parallelism in C++ for Multi-Cores.
Proceedings of the SBLP'21: 25th Brazilian Symposium on Programming Languages, Joinville, Brazil, 27 September 2021, 2021

Towards On-the-fly Self-Adaptation of Stream Parallel Patterns.
Proceedings of the 29th Euromicro International Conference on Parallel, 2021

Introducing a Stream Processing Framework for Assessing Parallel Programming Interfaces.
Proceedings of the 29th Euromicro International Conference on Parallel, 2021

Assessing Coding Metrics for Parallel Programming of Stream Processing Programs on Multi-cores.
Proceedings of the 47th Euromicro Conference on Software Engineering and Advanced Applications, 2021

2020
Simplifying and implementing service level objectives for stream parallelism.
J. Supercomput., 2020

DSPBench: A Suite of Benchmark Applications for Distributed Data Stream Processing Systems.
IEEE Access, 2020

Stream Parallelism Annotations for Multi-Core Frameworks.
Proceedings of the SBLP '20: 24th Brazilian Symposium on Programming Languages, 2020

Efficient NAS Parallel Benchmark Kernels with CUDA.
Proceedings of the 28th Euromicro International Conference on Parallel, 2020

Performance and Cost-aware HPC in Clouds: A Network Interconnection Assessment.
Proceedings of the IEEE Symposium on Computers and Communications, 2020

Performance Impact of IEEE 802.3ad in Container-Based Clouds for HPC Applications.
Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020

The Impact of CPU Frequency Scaling on Power Consumption of Computing Infrastructures.
Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020

2019
Stream parallelism with ordered data constraints on multi-core systems.
J. Supercomput., 2019

Towards Evaluating Proactive and Reactive Approaches on Reorganizing Human Resources in IoT-Based Smart Hospitals.
Sensors, 2019

High-Level and Productive Stream Parallelism for Dedup, Ferret, and Bzip2.
Int. J. Parallel Program., 2019

Raising the Parallel Abstraction Level for Streaming Analytics Applications.
IEEE Access, 2019

Structured Stream Parallelism for Rust.
Proceedings of the XXIII Brazilian Symposium on Programming Languages, 2019

Stream Parallelism on the LZSS Data Compression Application for Multi-Cores with GPUs.
Proceedings of the 27th Euromicro International Conference on Parallel, 2019

Memory Performance and Bottlenecks in Multicore and GPU Architectures.
Proceedings of the 27th Euromicro International Conference on Parallel, 2019

Should PARSEC Benchmarks be More Parametric? A Case Study with Dedup.
Proceedings of the 27th Euromicro International Conference on Parallel, 2019

Seamless Parallelism Management for Video Stream Processing on Multi-Cores.
Proceedings of the Parallel Computing: Technology Trends, 2019

High-Level Stream Parallelism Abstractions with SPar Targeting GPUs.
Proceedings of the Parallel Computing: Technology Trends, 2019

Minimizing Communication Overheads in Container-based Clouds for HPC Applications.
Proceedings of the 2019 IEEE Symposium on Computers and Communications, 2019

Stream Processing on Multi-cores with GPUs: Parallel Programming Models' Challenges.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019

Minimizing Self-adaptation Overhead in Parallel Stream Processing for Multi-cores.
Proceedings of the Euro-Par 2019: Parallel Processing Workshops, 2019

2018
Efficient NAS Benchmark Kernels with C++ Parallel Programming Frameworks for Multi-Cores.
Dataset, March, 2018

Parallel Stream Processing with MPI for Video Analytics and Data Visualization.
Proceedings of the High Performance Computing Systems - 19th Symposium, 2018

On the Performance of Multithreading Applications under Private Cloud Conditions.
Proceedings of the Symposium on High Performance Computing Systems, 2018

Parallel and Distributed Processing Support for a Geospatial Data Visualization DSL.
Proceedings of the Symposium on High Performance Computing Systems, 2018

Efficient NAS Benchmark Kernels with C++ Parallel Programming.
Proceedings of the 26th Euromicro International Conference on Parallel, 2018

Evaluating, Estimating, and Improving Network Performance in Container-based Clouds.
Proceedings of the 2018 IEEE Symposium on Computers and Communications, 2018

Performance of Data Mining, Media, and Financial Applications under Private Cloud Conditions.
Proceedings of the 2018 IEEE Symposium on Computers and Communications, 2018

The NAS Benchmark Kernels for Single and Multi-Tenant Cloud Instances with LXC/KVM.
Proceedings of the 2018 International Conference on High Performance Computing & Simulation, 2018

Autonomic and Latency-Aware Degree of Parallelism Management in SPar.
Proceedings of the Euro-Par 2018: Parallel Processing Workshops, 2018

Service Level Objectives via C++11 Attributes.
Proceedings of the Euro-Par 2018: Parallel Processing Workshops, 2018

2017
SPar: A DSL for High-Level and Productive Stream Parallelism.
Parallel Process. Lett., 2017

An Intra-Cloud Networking Performance Evaluation on CloudStack Environment.
Proceedings of the 25th Euromicro International Conference on Parallel, 2017

Higher-Level Parallelism Abstractions for Video Applications with SPar.
Proceedings of the Parallel Computing is Everywhere, 2017

Towards Distributed Parallel Programming Support for the SPar DSL.
Proceedings of the Parallel Computing is Everywhere, 2017

Improving the Network Performance of a Container-Based Cloud Environment for Hadoop Systems.
Proceedings of the 2017 International Conference on High Performance Computing & Simulation, 2017

A High-Level DSL for Geospatial Visualizations with Multi-core Parallelism Support.
Proceedings of the 41st IEEE Annual Computer Software and Applications Conference, 2017

2016
Domain-specific language & support tools for high-level stream parallelism.
PhD thesis, 2016

Private IaaS Clouds: A Comparative Analysis of OpenNebula, CloudStack and OpenStack.
Proceedings of the 24th Euromicro International Conference on Parallel, 2016

2015
Coding Productivity in MapReduce Applications for Distributed and Shared Memory Architectures.
Int. J. Softw. Eng. Knowl. Eng., 2015

A Unified MapReduce Domain-Specific Language for Distributed and Shared Memory Architectures.
Proceedings of the 27th International Conference on Software Engineering and Knowledge Engineering, 2015

An Embedded C++ Domain-Specific Language for Stream Parallelism.
Proceedings of the Parallel Computing: On the Road to Exascale, 2015

Towards a Domain-Specific Language for geospatial data visualization maps with Big Data sets.
Proceedings of the 12th IEEE/ACS International Conference of Computer Systems and Applications, 2015

2014
Performance and Usability Evaluation of a Pattern-Oriented Parallel Programming Interface for Multi-Core Architectures.
Proceedings of the 26th International Conference on Software Engineering and Knowledge Engineering, 2014

Evaluating the Impact of Transactional Characteristics on the Performance of Transactional Memory Applications.
Proceedings of the 22nd Euromicro International Conference on Parallel, 2014

2013
Towards a Domain-Specific Language for Patterns-Oriented Parallel Programming.
Proceedings of the Programming Languages - 17th Brazilian Symposium, 2013


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