Vania Marangozova

Y. Djebrouni, N. Benarba, O. Touat, P. De Rosa, S. Bouchenak, A. Bonifati, P. Felber, V. Marangozova, and V. Schiavoni. 2024. Bias Mitigation in Federated Learning for Edge Computing. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7, 4, Article 157 (December 2023), 35 pages. https://doi.org/10.1145/3631455 (Rang A*)

V.Marangozova-Martin, A. El-Rheddane, N. De Palma. Multi-Level Elasticity for Data Stream Processing. IEEE TPDS, vol. 30, no. 10, pp. 2326-2337, 1 Oct. 2019 (Rang A*).

Martin A, Marangozova-Martin V. Automatic benchmark profiling through advanced workflow-based trace analysis. Softw Pract Exper. 2018 ;1–23 (Rang A)

C. Pousa Ribeiro, M. Castro, V. Marangozova-Martin, J.-F. Mehaut, H. Cota de Freitas, and C. Augusto Paiva da Silva Martins. Evaluating CPU and Memory Affinity for Numerical Scientific Multithreaded Benchmarks on Multi-cores. IADIS International Journal on Computer Science and Information Systems(IJCSIS), 7(1) :79–93, 2012.

Y.Djebrouni, I.Rocha, S. Bouchenak, L. Chen, P. Felber, V. Marangozova, V. Schiavoni. Characterizing Distributed Machine Learning Workloads on Apache Spark. In Proceedings of the 24th International Middleware Conference (Middleware '23). ACM, New York, NY, USA, 151–164. https://doi.org/10.1145/3590140.3629112 (Rang A).

Alexis Martin, Vania Marangozova-Martin. Automatic Benchmark Profiling Through Advanced Trace Analysis. Euro-Par 2016 : 63-74 (Rang A)

K.Georgiev and V. Marangozova-Martin. MPSoC Zoom Debugging : A Deterministic Record-Partial Replay Approach. 12th IEEE International Conference on Embedded and Ubiquitous Computing (EUC’2014). (Acceptation 30%)

D. Dosimont, G. Pagano, G.Huard, V. Marangozova-Martin and J-M. Vincent. Efficient Analysis Methodology for Huge Application Traces. International Conference on High Performance Computing and Simulation (HPCS). July, 2014. Bologna, Italy. Campagne

L. Stanisic, B. Videau, J. Cronsioe, A. Degomme, V. Marangozova-Martin, A. Legrand, and J.-F. Mehaut. Performance Analysis of HPC Applications on Low-Power Embedded Platforms. In Proceedings of the Conference on Design, Automation, Test in Europe (DA- TE’13), Grenoble, Mar. 2013. Special Day on High-Performance Low-Power Computing.

G. Pagano, D. Dosimont, G. Huard, V. Marangozova-Martin, and J.-M. Vincent. Trace Management and Analysis for Embedded Systems. IEEE International Symposium on Embedded Multicore SoCs (MCSoC-13), Tokyo, Japan, Dec. 2013. (Acceptation 30%)

B. Videau, V. Marangozova-Martin, and J. Cronsioe. BOAST : Bringing Optimization through Automatic Source-to-Source Transformations. 7th International Symposium on Embedded Multicore/Manycore System-on-Chip (MCSoC), 2013 (Acceptation 30%)

B. Videau, V. Marangozova-Martin, L. Genovese, and T. Deutsch. Optimizing 3D Convo- lutions for Wavelet Transforms on CPUs with SSE Units and GPUs. 19th Euro-Par International Conference, 2013. (Rank A)

K. Pouget, M. Santana, V. Marangozova-Martin, and J.-F. Mehaut. Debugging Component-Based Embedded Applications. SCOPES (Software and Compilers for Embed- ded Systems) Workshop, 2012. (Rank A)

M. Bastos Castro, K. Georgiev, V. Marangozova-Martin, J.-F. Mehaut, L. Gustavo Fernandes, and M. Santana. Analysis and Tracing of Applications Based on Software Transactional Memory on Multicore Architectures. Euromicro International Conference on Parallel, Distributed and Network-Based Computing (PDP), 2011.

P. Oliveira, H. Cota de Freitas, C. Pousa Ribeiro, M. Bastos Castro, V. Marangozova- Martin, and J.-F. Mehaut. Performance Evaluation of WiNoCs for Parallel Workloads Based on Collective Communications. IADIS International Conference on Applied Computing (AC), Rio de Janeiro, Brazil, 2011.

C. Pousa Ribeiro, M. Bastos Castro, J.-F. Mehaut, V. Marangozova-Martin, H. Cota de Freitas, and C. A. P. S. Martins. Investigating the Impact of CPU and Memory Affinity on Multi-core Platforms : A Case Study of Numerical Scientific Multithreaded Applications. IADIS International Conference on Applied Computing (AC), Rio de Janeiro, Brazil, 2011.

C. Prada, V. Marangozova-Martin, J.-F. Mehaut, and M. Santana. A Generic Component- Based Approach to MPSoC Observation. 9th IEEE/IFIP International Conference on Embedded and UbiquitousComputing (EUC 2011), 2011.

G. Pagano and V. Marangozova-Martin. The FrameSoC Software Architecture for Multiple- View Trace Data Analysis. ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS 2014). Rome, Italie. Juin 2014

G. Pagano, D. Dosimont, G. Huard, V. Marangozova-Martin, and J.-M. Vincent. Trace Management and Analysis for Embedded Systems. IEEE International Symposium on Embedded Multicore SoCs (MCSoC-13), Tokyo, Japan, Dec. 2013.

V. Marangozova-Martin and G. Pagano. SoC-TRACE : Handling the Challenge of Em- bedded Software Design and Optimization. ACM/IFIP/Usenix International Middleware Conference, Montreal, Canada, Dec. 2012. (Rank A)

Vania Marangozova-Martin. Towards Generic System Observation Management. 2015.

K. Georgiev and V. Marangozova-Martin. Deterministic Partial Replay for MPSoC Debug- ging. Rapport de recherche RR-8515, INRIA Grenoble, France, 2014.

G.Pagano and V. Marangozova-Martin. FrameSoC Workbench : Facilitating Trace Analysis through a Consistent User Interface. Rapport technique RT-447, INRIA, Avril 2014.

Johanna Sepúlveda, Vania Marangozova-Martin, Jerónimo Castrillón. Architecture, Lan- guages, Compilation and Hardware support for Emerging ManYcore systems (ALCHEMY) : Preface. ICCS 2017 : 1071-1072

A. Martin, G. Pagano, V. Marangozova-Martin and J. Correnoz. Analyse de systèmes embarqués par structuration de traces d’exécution. Conférence en parallélisme, architecture et systèmes (ComPAS), Neuchâtel, Suisse. Avril 2014