Dalvan Griebler

I am an Associate Professor and Computer Scientist at the Pontifical Catholic University of Rio Grande do Sul (PUCRS), Brazil. I received a Ph.D. in computer science from PUCRS and the University of Pisa (UNIPI) in 2016. I am part of the School of Technology, lecturing in the Computer Science and Data Science Bachelor courses. I also supervise Master's and Ph.D. students from the Computer Sciences Graduate Program (PPG-CC) and the Ecology and Evolution of Biodiversity Graduate Program (PPG-EEB). As vice-coordinator of the Data Science Center (CCD), coordinator of the natural language processing group (PLN), and research coordinator of both the parallel application modeling group (GMAP) and laboratory of artificial intelligence (Lab AI), I have been developing several research projects with industry partners and governmental agencies. In the academic community, I act on the editorial board of scientific journals, on several technical program committees of conferences, and as a reviewer of several scientific journals.

Research Interests

Data science

Big data, data stream, data engineering, data analytics, time series, neural networks, big data frameworks (Hadoop, Flink, and Spark, Storm, and Kafka), and machine learning framework (Torch, Keras, and TensorFlow).

Internet of Things

Agriculture, biology, health care, industry, stream and complex event processing, mobile and embedded systems.

Parallel programming

Parallel Patterns, Algorithmic Skeletons, Task Scheduling, TBB, FastFlow, OpenMP, MPI, HPX, CUDA, OpenCL, and OpenACC.

Programming Languages

C/C++, Python, Shell Script, Rust, Java

Parallel Programming Effort

Parallelism abstractions, high-level parallel programming, programming effort, coding productivity​, metrics, and methodologies.

Cloud computing

IaaS cloud platforms (OpenStack, OpenNebula, and CloudStack), performance evaluation, deployment optimizations (virtualization, containers, networking, storage), virtualization technologies (KVM, Docker, and LXD), and PaaS platforms (AWS, Azure, GCP).

Parallel and Distributed Systems

Benchmarking, distributed platforms, high availability, fault tolerance, resource management, and energy efficiency.

High-Performance Architectures

Cluster computing, cloud infrastructure, multi-core systems, and hardware accelerators (GPU, FPGA).

Computer Networking

Application protocol, high-speed network, virtual network, and cloud network tools.

Compilers and Optimizations

Parallel code generation, code autotuning, source-to-source transformation, static code analysis. Flex, Bison, ANTLR, Clang, and GCC Plugins.

Latest Publications

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Griebler, Dalvan

Proposta de uma Linguagem Específica de Domínio de Programação Paralela Orientada a Padrões Paralelos: Um Estudo de Caso Baseado no Padrão Mestre/Escravo para Arquiteturas Multi-Core Masters Thesis

Faculdade de Informática - PPGCC - PUCRS, Porto Alegre, Brazil, 2012.

(Abstract | Links)


Raeder, Mateus; Griebler, Dalvan; Baldo, Lucas; Fernandes, Luiz G.

Performance Prediction of Parallel Applications with Parallel Patterns Using Stochastic Methods Inproceedings doi

In: Sistemas Computacionais (WSCAD-SSC), XII Simpósio em Sistemas Computacionais de Alto Desempenho, pp. 1-13, IEEE, Espírito Santo, Brasil, 2011.

(Abstract | Links)

Griebler, Dalvan; Raeder, Mateus; Fernandes, Luiz Gustavo

Padrões e Frameworks de Programação Paralela em Ambientes Multi-Core Inproceedings

In: Escola Regional de Alto Desempenho (ERAD-RS), pp. 2, Sociedade Brasileira de Computação (SBC), Porto Alegre, RS, BR, 2011.

(Abstract | Links)

173 entries « 35 of 35 »