Towards a Domain-Specific Language for Patterns-Oriented Parallel Programming. - Dalvan Griebler; Luiz Gustavo Fernandes (SBLP, 2013)

Evaluating the Impact of Transactional Characteristics on the Performance of Transactional Memory Applications. - Fernando Rui; Márcio Castro 001; Dalvan Griebler; Luiz Gustavo Fernandes (PDP, 2014)

Performance and Usability Evaluation of a Pattern-Oriented Parallel Programming Interface for Multi-Core Architectures. - Dalvan Griebler; Daniel Couto Adornes; Luiz Gustavo Fernandes (SEKE, 2014)

Towards a Domain-Specific Language for geospatial data visualization maps with Big Data sets. - Cleverson Ledur; Dalvan Griebler; Isabel Harb Manssour; Luiz Gustavo Fernandes (AICCSA, 2015)

An Embedded C++ Domain-Specific Language for Stream Parallelism. - Dalvan Griebler; Marco Danelutto; Massimo Torquati; Luiz Gustavo Fernandes (PARCO, 2015)

A Unified MapReduce Domain-Specific Language for Distributed and Shared Memory Architectures. - Daniel Couto Adornes; Dalvan Griebler; Cleverson Ledur; Luiz Gustavo Fernandes (SEKE, 2015)

Coding Productivity in MapReduce Applications for Distributed and Shared Memory Architectures. - Daniel Couto Adornes; Dalvan Griebler; Cleverson Ledur; Luiz Gustavo Fernandes (Int. J. Softw. Eng. Knowl. Eng., 2015)

Private IaaS Clouds: A Comparative Analysis of OpenNebula, CloudStack and OpenStack. - Adriano Vogel; Dalvan Griebler; Carlos A. F. Maron; Claudio Schepke; Luiz Gustavo Fernandes (PDP, 2016)

Domain-specific language & support tools for high-level stream parallelism. - Dalvan Griebler (2016)

A High-Level DSL for Geospatial Visualizations with Multi-core Parallelism Support. - Cleverson Ledur; Dalvan Griebler; Isabel Harb Manssour; Luiz Gustavo Fernandes (COMPSAC (1), 2017)

Improving the Network Performance of a Container-Based Cloud Environment for Hadoop Systems. - Cassiano Rista; Dalvan Griebler; Carlos A. F. Maron; Luiz Gustavo Fernandes (HPCS, 2017)

Towards Distributed Parallel Programming Support for the SPar DSL. - Dalvan Griebler; Luiz Gustavo Fernandes (PARCO, 2017)

Higher-Level Parallelism Abstractions for Video Applications with SPar. - Dalvan Griebler; Renato B. Hoffmann; Marco Danelutto; Luiz Gustavo Fernandes (PARCO, 2017)

An Intra-Cloud Networking Performance Evaluation on CloudStack Environment. - Adriano Vogel; Dalvan Griebler; Claudio Schepke; Luiz Gustavo Fernandes (PDP, 2017)

SPar: A DSL for High-Level and Productive Stream Parallelism. - Dalvan Griebler; Marco Danelutto; Massimo Torquati; Luiz Gustavo Fernandes (Parallel Process. Lett., 2017)

Service Level Objectives via C++11 Attributes. - Dalvan Griebler; Daniele De Sensi; Adriano Vogel; Marco Danelutto; Luiz Gustavo Fernandes (Euro-Par Workshops, 2018)

Autonomic and Latency-Aware Degree of Parallelism Management in SPar. - Adriano Vogel; Dalvan Griebler; Daniele De Sensi; Marco Danelutto; Luiz Gustavo Fernandes (Euro-Par Workshops, 2018)

The NAS Benchmark Kernels for Single and Multi-Tenant Cloud Instances with LXC/KVM. - Anderson M. Maliszewski; Dalvan Griebler; Claudio Schepke; Alexander Ditter; Dietmar Fey; Luiz Gustavo Fernandes (HPCS, 2018)

Performance of Data Mining, Media, and Financial Applications under Private Cloud Conditions. - Dalvan Griebler; Adriano Vogel; Carlos A. F. Maron; Anderson M. Maliszewski; Claudio Schepke; Luiz Gustavo Fernandes (ISCC, 2018)

Evaluating, Estimating, and Improving Network Performance in Container-based Clouds. - Cassiano Rista; Marcelo Teixeira; Dalvan Griebler; Luiz Gustavo Fernandes (ISCC, 2018)

Efficient NAS Benchmark Kernels with C++ Parallel Programming. - Dalvan Griebler; Junior Loff; Gabriele Mencagli; Marco Danelutto; Luiz Gustavo Fernandes (PDP, 2018)

Parallel and Distributed Processing Support for a Geospatial Data Visualization DSL. - Endrius Ewald; Adriano Vogel; Cassiano Rista; Dalvan Griebler; Isabel Harb Manssour; Luiz Gustavo Fernandes (WSCAD, 2018)

On the Performance of Multithreading Applications under Private Cloud Conditions. - Anderson Mattheus Maliszewski; Dalvan Griebler; Adriano Vogel; Claudio Schepke (WSCAD, 2018)

Parallel Stream Processing with MPI for Video Analytics and Data Visualization. - Adriano Vogel; Cassiano Rista; Gabriel Justo; Endrius Ewald; Dalvan Griebler; Gabriele Mencagli; Luiz Gustavo Fernandes (WSCAD (Selected Papers), 2018)

Efficient NAS Benchmark Kernels with C++ Parallel Programming Frameworks for Multi-Cores. - Dalvan Griebler; Junior Loff; Gabriele Mencagli; Marco Danelutto; Luiz Gustavo Fernandes (Zenodo, 2018)

Minimizing Self-adaptation Overhead in Parallel Stream Processing for Multi-cores. - Adriano Vogel; Dalvan Griebler; Marco Danelutto; Luiz Gustavo Fernandes (Euro-Par Workshops, 2019)

Stream Processing on Multi-cores with GPUs: Parallel Programming Models' Challenges. - Dinei A. Rockenbach; Charles Michael Stein; Dalvan Griebler; Gabriele Mencagli; Massimo Torquati; Marco Danelutto; Luiz Gustavo Fernandes (IPDPS Workshops, 2019)

Minimizing Communication Overheads in Container-based Clouds for HPC Applications. - Anderson M. Maliszewski; Adriano Vogel; Dalvan Griebler; Eduardo Roloff; Luiz Gustavo Fernandes; Philippe O. A. Navaux (ISCC, 2019)

High-Level Stream Parallelism Abstractions with SPar Targeting GPUs. - Dinei A. Rockenbach; Dalvan Griebler; Marco Danelutto; Luiz Gustavo Fernandes (PARCO, 2019)

Seamless Parallelism Management for Video Stream Processing on Multi-Cores. - Adriano Vogel; Dalvan Griebler; Luiz Gustavo Fernandes; Marco Danelutto (PARCO, 2019)

Should PARSEC Benchmarks be More Parametric? A Case Study with Dedup. - Carlos A. F. Maron; Adriano Vogel; Dalvan Griebler; Luiz Gustavo Fernandes (PDP, 2019)

Memory Performance and Bottlenecks in Multicore and GPU Architectures. - Matheus S. Serpa; Francis B. Moreira 001; Philippe O. A. Navaux; Eduardo H. M. Cruz; Matthias Diener; Dalvan Griebler; Luiz Gustavo Fernandes (PDP, 2019)

Stream Parallelism on the LZSS Data Compression Application for Multi-Cores with GPUs. - Charles Michael Stein; Dalvan Griebler; Marco Danelutto; Luiz Gustavo Fernandes (PDP, 2019)

Structured Stream Parallelism for Rust. - Ricardo Pieper; Dalvan Griebler; Luiz Gustavo Fernandes (SBLP, 2019)

Raising the Parallel Abstraction Level for Streaming Analytics Applications. - Gabriele Mencagli; Massimo Torquati; Dalvan Griebler; Marco Danelutto; Luiz Gustavo Fernandes (IEEE Access, 2019)

High-Level and Productive Stream Parallelism for Dedup, Ferret, and Bzip2. - Dalvan Griebler; Renato B. Hoffmann; Marco Danelutto; Luiz Gustavo Fernandes (Int. J. Parallel Program., 2019)

Towards Evaluating Proactive and Reactive Approaches on Reorganizing Human Resources in IoT-Based Smart Hospitals. - Gabriel Souto Fischer; Rodrigo da Rosa Righi; Cristiano André da Costa; Guilherme Galante; Dalvan Griebler (Sensors, 2019)

Stream parallelism with ordered data constraints on multi-core systems. - Dalvan Griebler; Renato B. Hoffmann; Marco Danelutto; Luiz Gustavo Fernandes (J. Supercomput., 2019)

The Impact of CPU Frequency Scaling on Power Consumption of Computing Infrastructures. - Adriano Marques Garcia; Matheus S. Serpa; Dalvan Griebler; Claudio Schepke; Luiz G. L. Fernandes; Philippe O. A. Navaux (ICCSA (6), 2020)

Performance Impact of IEEE 802.3ad in Container-Based Clouds for HPC Applications. - Anderson M. Maliszewski; Eduardo Roloff; Dalvan Griebler; Luciano Paschoal Gaspary; Philippe O. A. Navaux (ICCSA (6), 2020)

Performance and Cost-aware HPC in Clouds: A Network Interconnection Assessment. - Anderson M. Maliszewski; Eduardo Roloff; Emmanuell D. Carreño; Dalvan Griebler; Luciano Paschoal Gaspary; Philippe O. A. Navaux (ISCC, 2020)

Efficient NAS Parallel Benchmark Kernels with CUDA. - Gabriell Alves de Araujo; Dalvan Griebler; Marco Danelutto; Luiz Gustavo Fernandes (PDP, 2020)

Stream Parallelism Annotations for Multi-Core Frameworks. - Renato B. Hoffmann; Dalvan Griebler; Marco Danelutto; Luiz Gustavo Fernandes (SBLP, 2020)

DSPBench: A Suite of Benchmark Applications for Distributed Data Stream Processing Systems. - Maycon Viana Bordin; Dalvan Griebler; Gabriele Mencagli; Cláudio F. R. Geyer; Luiz Gustavo Leão Fernandes (IEEE Access, 2020)

Simplifying and implementing service level objectives for stream parallelism. - Dalvan Griebler; Adriano Vogel; Daniele De Sensi; Marco Danelutto; Luiz Gustavo Fernandes (J. Supercomput., 2020)

Assessing Coding Metrics for Parallel Programming of Stream Processing Programs on Multi-cores. - Gabriella Andrade; Dalvan Griebler; Rodrigo Pereira dos Santos; Marco Danelutto; Luiz Gustavo Fernandes (SEAA, 2021)

Introducing a Stream Processing Framework for Assessing Parallel Programming Interfaces. - Adriano Marques Garcia; Dalvan Griebler; Luiz G. L. Fernandes; Claudio Schepke (PDP, 2021)

Towards On-the-fly Self-Adaptation of Stream Parallel Patterns. - Adriano Vogel; Gabriele Mencagli; Dalvan Griebler; Marco Danelutto; Luiz Gustavo Fernandes (PDP, 2021)

High-Level Stream and Data Parallelism in C++ for Multi-Cores. - Junior Loff; Renato B. Hoffmann; Dalvan Griebler; Luiz Gustavo Fernandes (SBLP, 2021)

Simplifying IoT data stream enrichment and analytics in the edge. - Márcio Miguel Gomes; Rodrigo da Rosa Righi; Cristiano André da Costa; Dalvan Griebler (Comput. Electr. Eng., 2021)

Latency-aware adaptive micro-batching techniques for streamed data compression on graphics processing units. - Charles Michael Stein; Dinei A. Rockenbach; Dalvan Griebler; Massimo Torquati; Gabriele Mencagli; Marco Danelutto; Luiz Gustavo Fernandes (Concurr. Comput. Pract. Exp., 2021)

The NAS Parallel Benchmarks for evaluating C++ parallel programming frameworks on shared-memory architectures. - Júnior Löff; Dalvan Griebler; Gabriele Mencagli; Gabriell Alves de Araujo; Massimo Torquati; Marco Danelutto; Luiz Gustavo Fernandes (Future Gener. Comput. Syst., 2021)

Providing high-level self-adaptive abstractions for stream parallelism on multicores. - Adriano Vogel; Dalvan Griebler; Luiz Gustavo Fernandes (Softw. Pract. Exp., 2021)

High-level and efficient structured stream parallelism for rust on multi-cores. - Ricardo Pieper; Júnior Löff; Renato B. Hoffmann; Dalvan Griebler; Luiz Gustavo Fernandes (J. Comput. Lang., 2021)

NPB-CPP: NAS Parallel Benchmarks for evaluating C++ parallel programming frameworks on shared-memory architectures. - Júnior Löff; Dalvan Griebler; Gabriele Mencagli; Gabriell Alves de Araujo; Massimo Torquati; Marco Danelutto; Luiz Gustavo Fernandes (Zenodo, 2021)

Analyzing Programming Effort Model Accuracy of High-Level Parallel Programs for Stream Processing. - Gabriella Andrade; Dalvan Griebler; Rodrigo Pereira dos Santos; Christoph W. Kessler; August Ernstsson; Luiz Gustavo Fernandes (SEAA, 2022)

Evaluating Micro-batch and Data Frequency for Stream Processing Applications on Multi-cores. - Adriano Marques Garcia; Dalvan Griebler; Claudio Schepke; Luiz Gustavo Leão Fernandes (PDP, 2022)

Towards Parallel Data Stream Processing on System-on-Chip CPU+GPU Devices. - Gabriele Mencagli; Dalvan Griebler; Marco Danelutto (PDP, 2022)

High-Level Stream and Data Parallelism in C++ for GPUs. - Dinei A. Rockenbach; Júnior Löff; Gabriell Alves de Araujo; Dalvan Griebler; Luiz Gustavo Fernandes (SBLP, 2022)

Open Source Augmented Reality in Data Center Infrastructure Maintenance. - Vitor Barth; Adriano Vogel; Dalvan Griebler; Márcio Sarroglia Pinho (SVR, 2022)

Self-adaptation on parallel stream processing: A systematic review. - Adriano Vogel; Dalvan Griebler; Marco Danelutto; Luiz Gustavo Fernandes (Concurr. Comput. Pract. Exp., 2022)

DSParLib: A C++ Template Library for Distributed Stream Parallelism. - Júnior Löff; Renato B. Hoffmann; Ricardo Pieper; Dalvan Griebler; Luiz Gustavo Fernandes (Int. J. Parallel Program., 2022)

OpenMP as runtime for providing high-level stream parallelism on multi-cores. - Renato B. Hoffmann; Júnior Löff; Dalvan Griebler; Luiz Gustavo Fernandes (J. Supercomput., 2022)

Combining stream with data parallelism abstractions for multi-cores. - Júnior Löff; Renato B. Hoffmann; Dalvan Griebler; Luiz Gustavo Fernandes (J. Comput. Lang., 2022)

Evaluation of Adaptive Micro-batching Techniques for GPU-Accelerated Stream Processing. - Ricardo Leonarczyk; Dalvan Griebler; Gabriele Mencagli; Marco Danelutto (Euro-Par Workshops (1), 2023)

A Latency, Throughput, and Programmability Perspective of GrPPI for Streaming on Multi-cores. - Adriano Marques Garcia; Dalvan Griebler; Claudio Schepke; André Sacilotto Santos; José Daniel García; Javier Fernández Muñoz; Luiz G. L. Fernandes (PDP, 2023)

Revisiting self-adaptation for efficient decision-making at run-time in parallel executions. - Adriano Vogel; Marco Danelutto; Dalvan Griebler; Luiz Gustavo Fernandes (PDP, 2023)

Message from the General Chairs. - Tiago C. Ferreto; Dalvan Griebler; César A. F. De Rose (SBAC-PAD, 2023)

Analyzing C++ Stream Parallelism in Shared-Memory when Porting to Flink and Storm. - Renato B. Hoffmann; Leonardo G. Faé; Isabel H. Manssour; Dalvan Griebler (SBAC-PADW, 2023)

Evaluation Model and Performance Analysis of NIC Aggregations in Containerized Private Clouds. - Anderson M. Maliszewski; Dalvan Griebler; Eduardo Roloff; Rodrigo da Rosa Righi; Philippe O. A. Navaux (SBAC-PADW, 2023)

Source-to-Source Code Transformation on Rust for High-Level Stream Parallelism. - Leonardo G. Faé; Renato B. Hoffmann; Dalvan Griebler (SBLP, 2023)

A parallel programming assessment for stream processing applications on multi-core systems. - Gabriella Andrade; Dalvan Griebler; Rodrigo Pereira dos Santos; Luiz Gustavo Fernandes (Comput. Stand. Interfaces, 2023)

NAS Parallel Benchmarks with CUDA and beyond. - Gabriell Alves de Araujo; Dalvan Griebler; Dinei A. Rockenbach; Marco Danelutto; Luiz Gustavo Fernandes (Softw. Pract. Exp., 2023)

Assessing Application Efficiency and Performance Portability in Single-Source Programming for Heterogeneous Parallel Systems. - August Ernstsson; Dalvan Griebler; Christoph W. Kessler (Int. J. Parallel Program., 2023)

SPBench: a framework for creating benchmarks of stream processing applications. - Adriano Marques Garcia; Dalvan Griebler; Claudio Schepke; Luiz Gustavo Fernandes (Computing, 2023)

Online and transparent self-adaptation of stream parallel patterns. - Adriano Vogel; Gabriele Mencagli; Dalvan Griebler; Marco Danelutto; Luiz Gustavo Fernandes (Computing, 2023)

Micro-batch and data frequency for stream processing on multi-cores. - Adriano Marques Garcia; Dalvan Griebler; Claudio Schepke; Luiz Gustavo Fernandes (J. Supercomput., 2023)

Multiview Machine Learning Classification of Tooth Extraction in Orthodontics Using Intraoral Scans. - 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 (COMPSAC, 2024)

MPR: An MPI Framework for Distributed Self-adaptive Stream Processing. - Júnior Löff; Dalvan Griebler; Luiz Gustavo Fernandes; Walter Binder (Euro-Par (3), 2024)

Benchmarking parallel programming for single-board computers. - Renato B. Hoffmann; Dalvan Griebler; Rodrigo da Rosa Righi; Luiz Gustavo Fernandes (Future Gener. Comput. Syst., 2024)

General-purpose data stream processing on heterogeneous architectures with WindFlow. - Gabriele Mencagli; Massimo Torquati; Dalvan Griebler; Alessandra Fais; Marco Danelutto (J. Parallel Distributed Comput., 2024)

Performance and programmability of GrPPI for parallel stream processing on multi-cores. - Adriano Marques Garcia; Dalvan Griebler; Claudio Schepke; José Daniel García; Javier Fernández Muñoz; Luiz Gustavo Fernandes (J. Supercomput., 2024)

Enhancing self-adaptation for efficient decision-making at run-time in streaming applications on multicores. - Adriano Vogel; Marco Danelutto; Massimo Torquati; Dalvan Griebler; Luiz Gustavo Fernandes (J. Supercomput., 2024)

Automatic Synthesis of Specialized Hash Functions. - Renato B. Hoffmann; Leonardo G. Faé; Dalvan Griebler; Xinliang David Li; Fernando Magno Quintão Pereira (CGO, 2025)

PPOIJ: Shared-Nothing Parallel Patterns for Efficient Online Interval Joins over Data Streams. - Gabriele Mencagli; Yuriy Rymarchuk; Dalvan Griebler (DEBS, 2025)

NPB-PSTL: C++ STL Algorithms with Parallel Execution Policies in NAS Parallel Benchmarks. - Júnior Löff; Renato B. Hoffmann; Nicola Bianchessi; Leonardo Mallmann; Dalvan Griebler; Walter Binder (PDP, 2025)

GSParLib: A multi-level programming interface unifying OpenCL and CUDA for expressing stream and data parallelism. - Dinei A. Rockenbach; Gabriell Alves de Araujo; Dalvan Griebler; Luiz Gustavo Fernandes (Comput. Stand. Interfaces, 2025)

NPB-Rust: NAS Parallel Benchmarks in Rust. - Eduardo M. Martins; Leonardo G. Faé; Renato B. Hoffmann; Nicola Bianchessi; Dalvan Griebler (CoRR, 2025)

Automated Planning for Optimal Data Pipeline Instantiation. - Leonardo Rosa Amado; Adriano Vogel; Dalvan Griebler; Gabriel Paludo Licks; Eric Simon; Felipe Meneguzzi (CoRR, 2025)

Self-Adaptive Micro-Batching for Low-Latency GPU-Accelerated Stream Processing. - Ricardo Leonarczyk; Gabriele Mencagli; Dalvan Griebler (Int. J. Parallel Program., 2025)

Optimization of resource-aware parallel and distributed computing: a review. - Pawel Czarnul; Marcel Antal; Hamza Baniata; Dalvan Griebler; Attila Kertész; Christoph W. Kessler; Andreas Kouloumpris; Salko Kovacic; András Márkus; Maria K. Michael; Panagiota Nikolaou; Isil Öz; et al. (J. Supercomput., 2025)