Trends on high performance computing, from resource management to new computer architectures

• Grant number: 19/26702-8
• Support Opportunities: Research Projects - Thematic Grants
• Start date: September 01, 2021
• End date: August 31, 2026
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computer Systems
• Principal Investigator: Alfredo Goldman vel Lejbman
• Grantee: Alfredo Goldman vel Lejbman
• Host Institution: Instituto de Matemática e Estatística (IME). Universidade de São Paulo (USP). São Paulo , SP, Brazil
• City of the host institution: São Paulo
• Principal investigators: Guido Costa Souza de Araújo ; Hermes Senger ; Luiz Fernando Bittencourt
• Associated researchers: Aleardo Manacero Junior ; Alexandro José Baldassin ; Álvaro Luiz Fazenda ; Daniel de Angelis Cordeiro ; Denise Stringhini ; Emilio de Camargo Francesquini ; Fernando Henrique Laureano Buzato ; Hélio Crestana Guardia ; Hermes Senger ; Hervé Cédric Yviquel ; JOÃO GABRIEL LOUREIRO DE LIMA LEMBO ; Kelly Rosa Braghetto ; Paulo Sérgio Lopes de Souza ; Raphael Yokoingawa de Camargo ; Rodolfo Jardim de Azevedo ; Sandro Rigo ; Sarita Mazzini Bruschi
• Associated research grant(s): 25/14010-5 - Development of mobile applications for data collection integrated with Machine Learning environment, AP.R; 22/16618-2 - Multi-user equipement under the grant: 2019/26702-8 heterogeneous parallel machine, AP.EMU; 23/00702-7 - Resource allocation for digital twin applications, AP.R SPRINT
• Associated scholarship(s): 25/15888-4 - Development of Simulation Tools for Environmental Impact Assessment in High Performance Computing Systems, BP.IC; 25/12086-4 - Optimizing the Calculus of Normalized Compression Distance for Unsupervised Learning, BP.IC; 25/15367-4 - Academic management of the Thematic Project "Trends in high-performance computing, from resource management to new computer architectures", BP.TT; + associated scholarships 25/10478-2 - Improving Parallel Applications in Heterogeneous Environments, BP.TT; 25/07702-8 - Evaluation of Parallel Computing Techniques for Geophysical Simulations in High Performance Environments, BP.TT; 25/03240-0 - Academic management of the Thematic Project "Trends in high-performance computing, from resource management to new computer architectures", BP.TT; 24/09487-4 - Analysis of simulators and adaptation aiming to reduce CO2 emissions in data centers, BP.IC; 23/09048-8 - Sustainable Supercomputing: Energy Efficiency and Resource Management through Statistical Modeling and Machine Learning, BP.DD; 24/04232-8 - Implementation and Optimization of Task Offloading in Heterogeneous Clusters using OpenMP Cluster, BP.MS; 24/08364-6 - Design of FPGA Accelerators based on CGRA Architectures, BP.PD; 22/06906-0 - On limits of Machine Learning techniques in the learning of scheduling policies, BP.IC; 22/01230-9 - Development and Management of Computational Infrastructure for the Design of FPGA Accelerators, BP.TT - associated scholarships

Abstract

In this project we join efforts and expertise from several Computer Science re-searchers on High Performance Computing (HPC). Our main goal is to promote high impact research on two areas of HPC: resource management and on new computer architectures. Each area is divided in various topics. Each topic is lead by an experienced researcher and it will be tackled with the help of collaborators and students. With this project we want to provide not only the research itself but also the synergy of São Paulo State researchers. (AU)

Scientific publications

(31)

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

FERNANDES, MATHEUS CAMPOS; DE FRANCA, FABRICIO OLIVETTI; FRANCESQUINI, EMILIO; PAQUETE, L. HOTGP- Higher-Order Typed Genetic Programming. PROCEEDINGS OF THE 2023 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE, GECCO 2023, v. N/A, p. 9-pg., 2023-01-01. (19/26702-8, 21/06867-2, 21/12706-1)

BERNARDINO, MATHEUS TAVARES; GOLDMAN, ALFREDO; IEEE COMP SOC. Parallelizing Git Checkout: a Case Study of I/O Parallelism. 2022 IEEE 34TH INTERNATIONAL SYMPOSIUM ON COMPUTER ARCHITECTURE AND HIGH PERFORMANCE COMPUTING (SBAC-PAD 2022), v. N/A, p. 12-pg., 2022-01-01. (19/26702-8)

FERNANDES, MATHEUS CAMPOS; DE FRANCA, FABRICIO OLIVETTI; FRANCESQUINI, EMILIO. Going Bananas! - Unfolding Program Synthesis with Origami. INTELLIGENT SYSTEMS, BRACIS 2024, PT II, v. 15413, p. 16-pg., 2025-01-01. (23/00811-0, 19/26702-8, 24/01115-0, 21/06867-2, 21/12706-1)

DO NASCIMENTO, RODRIGO PEREIRA; VEL LEJBMAN, ALFREDO GOLDMAN. The Tracer Files: Cracking the Case of Performance Impact in Tracing Linux File I/O for I/O-Intensive Applications. 2024 INTERNATIONAL SYMPOSIUM ON COMPUTER ARCHITECTURE AND HIGH PERFORMANCE COMPUTING WORKSHOPS, SBAC-PADW, v. N/A, p. 8-pg., 2024-01-01. (19/26702-8)

MACHADO, LETICIA S. F.; TADONKI, CLAUDE; SENGER, HERMES. A Source-to-source NUMA Profiling Approach. 2023 INTERNATIONAL SYMPOSIUM ON COMPUTER ARCHITECTURE AND HIGH PERFORMANCE COMPUTING WORKSHOPS, SBAC-PADW, v. N/A, p. 6-pg., 2023-01-01. (19/26702-8, 22/00434-0, 22/11070-9, 23/00566-6)

FERREIRA, VINICIUS GOMES; HERRERA, CAIO GUIMARAES; SOUZA, SIMONE R. S.; DOS SANTOS, RICARDO RIBEIRO; LOPES DE SOUZA, PAULO SERGIO. Software Testing Applied to the Development of IoT Systems: preliminary results. PROCEEDINGS OF THE 8TH BRAZILIAN SYMPOSIUM ON SYSTEMATIC AND AUTOMATED SOFT-WARE TESTING, SAST 2023, v. N/A, p. 10-pg., 2023-01-01. (19/26702-8)

KRUGER, KLEBER; PANNAIN, RICARDO; AZEVEDO, RODOLFO. Using Logging-on-Write to Improve Non-Volatile Memory Checkpoints via Processing-in-Memory. 2023 IEEE 35TH INTERNATIONAL SYMPOSIUM ON COMPUTER ARCHITECTURE AND HIGH PERFORMANCE COMPUTING, SBAC-PAD, v. N/A, p. 10-pg., 2023-01-01. (19/26702-8, 13/08293-7)

ROSA, LUCAS; CARASTAN-SANTOS, DANILO; GOLDMAN, ALFREDO. An Experimental Analysis of Regression-Obtained HPC Scheduling Heuristics. JOB SCHEDULING STRATEGIES FOR PARALLEL PROCESSING, JSSPP 2023, v. 14283, p. 21-pg., 2023-01-01. (22/06906-0, 19/26702-8)

CASSALES, GUILHERME; GOMES, HEITOR MURILO; BIFET, ALBERT; PFAHRINGER, BERNHARD; SENGER, HERMES. Balancing Performance and Energy Consumption of Bagging Ensembles for the Classification of Data Streams in Edge Computing. IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, v. 20, n. 3, p. 17-pg., 2023-09-01. (19/26702-8, 21/00199-8)

BITTENCOURT, LUIZ F.; BRAGHETTO, KELLY R.; CORDEIRO, DANIEL; SAKELLARIOU, RIZOS. On Digital Twins for Cloud Continuum Applications. ECONOMICS OF GRIDS, CLOUDS, SYSTEMS, AND SERVICES, GECON 2024, v. 15358, p. 8-pg., 2025-01-01. (19/26702-8, 23/00702-7, 24/01115-0)

VIEIRA, CRISTIANO COSTA ARGEMON; BITTENCOURT, LUIZ FERNANDO; GENEZ, THIAGO AUGUSTO LOPES; PEIXOTO, MAYCON LEONE M.; MADEIRA, EDMUNDO ROBERTO MAURO. RAaaS: Resource Allocation as a Service in multiple cloud providers. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, v. 221, p. 15-pg., 2023-11-17. (19/26702-8, 15/24494-8)

OLIVEIRA, LEONAN T.; BITTENCOURT, LUIZ F.; GENEZ, THIAGO A. L.; DE LARA, EYAL; PEIXOTO, MAYCON L. M.. Enhancing modular application placement in a hierarchical fog computing: A and communication cost-sensitive. COMPUTER COMMUNICATIONS, v. 216, p. 17-pg., 2024-01-15. (19/26702-8)

RODRIGUES FILHO, ROBERTO; BITTENCOURT, LUIZ F.; PORTER, BARRY; COSTA, FABIO M.; IEEE. Exploiting the Potential of the Edge-Cloud Continuum with Self-distributing Systems. 2022 IEEE/ACM 15TH INTERNATIONAL CONFERENCE ON UTILITY AND CLOUD COMPUTING, UCC, v. N/A, p. 6-pg., 2022-01-01. (20/07193-2, 14/50937-1, 15/24485-9, 19/26702-8)

FURQUIM, FELIPE V.; DARDILHAC, VALENTIN; CORDEIRO, DANIEL; COHEN, JOHANNE. Characterizing Strategyproofness Through Score Functions in Voting Mechanisms. FRONTIERS OF ALGORITHMICS, IJTCS-FAW 2025, v. 15828, p. 14-pg., 2025-01-01. (23/00811-0, 21/06867-2, 24/01115-0, 19/26702-8, 25/01171-0)

VENKATEGOWDA, NATESHA BANAVASE; BITTENCOURT, LUIZ FERNANDO. Service Placement in the Computing Continuum for Delay-Sensitive IoT/IIoT Applications. Journal of Network and Systems Management, v. 33, n. 4, p. 27-pg., 2025-07-08. (19/26702-8)

POLO RUIZ, KEVIN GERARDO; BOTAZZO DELBEM, ALEXANDRE CLAUDIO; LOPES DE SOUZA, PAULO SERGIO. Impact of Distances in an Anomaly Detection Context for Time Series in Software Testing. COMPUTATIONAL SCIENCE AND ITS APPLICATIONS-ICCSA 2025, PT II, v. 15649, p. 17-pg., 2025-01-01. (19/06937-0, 19/26702-8, 13/07375-0)

BITTENCOURT, LUIZ F.; RODRIGUES-FILHO, ROBERTO; SPILLNER, JOSEF; DE TURCK, FILIP; SANTOS, JOSE; DA FONSECA, NELSON L. S.; RANA, OMER; PARASHAR, MANISH; FOSTER, IAN. The computing continuum: Past, present, and future. COMPUTER SCIENCE REVIEW, v. 58, p. 21-pg., 2025-07-10. (19/26702-8, 21/00199-8, 23/00673-7)

MALTEMPI, THIAGO; RIGO, SANDRO; PEREIRA, MARCIO; YVIQUEL, HERVE; COSTA, JESSE; ARAUJO, GUIDO. Combining Compression and Prefetching to Improve Checkpointing for Inverse Seismic Problems in GPUs. EURO-PAR 2024: PARALLEL PROCESSING, PT III, EURO-PAR 2024, v. 14803, p. 15-pg., 2024-01-01. (19/26702-8)

RESENDE, HUGO; NETO, EDUARDO B.; CAPPABIANCO, FABIO A. M.; FAZENDA, ALVARO L.; FARIA, FABIO A.. Sampling Strategies based on Wisdom of Crowds for Amazon Deforestation Detection. 2024 37TH SIBGRAPI CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES, SIBGRAPI 2024, v. N/A, p. 6-pg., 2024-01-01. (15/24485-9, 23/00811-0, 14/50937-1, 19/26702-8, 23/00782-0, 18/23908-1)

SENGER, HERMES; DE SOUZA, JAIME FREIRE; MOREIRA, JOAO BAPTISTA DIAS; ROBERTS, KEITH JARED; GAIOSO, ROUSSIAN DI RAMOS ALVES; SILVA, EMILIO CARLOS NELLI; GOMI, EDSON SATOSHI. Simwave: A finite difference simulator for acoustic waves propagation. APPLIED COMPUTING AND GEOSCIENCES, v. 27, p. 18-pg., 2025-09-10. (19/26702-8, 23/00566-6, 20/15230-5, 14/50279-4)

HERRERA, CAIO GUIMARAES; MONTES, VITOR SILVA; SOUZA, SIMONE R. S.; DOS SANTOS, RICARDO RIBEIRO; LOPES DE SOUZA, PAULO SERGIO. An Architecture for a Reliability Tool Applied to Distributed Systems. COMPUTATIONAL SCIENCE AND ITS APPLICATIONS-ICCSA 2025, PT II, v. 15649, p. 17-pg., 2025-01-01. (19/06937-0, 13/07375-0, 19/26702-8)

LUNA, REGINALDO; CASSALES, GUILHERME; PFAHRINGER, BERNHARD; BIFET, ALBERT; GOMES, HEITOR MURILO; SENGER, HERMES. Mini-batching with Fused Training and Testing for Data Streams Processing on the Edge. PROCEEDINGS OF THE 21ST ACM INTERNATIONAL CONFERENCE ON COMPUTING FRONTIERS 2024, CF 2024, v. N/A, p. 10-pg., 2024-01-01. (19/26702-8, 23/00566-6)

BUZATO, FERNANDO H. L.; GOLDMAN, ALFREDO. Optimizing Microservices Performance and Resource Utilization through Containerized Grouping: An Experimental Study. 2023 INTERNATIONAL SYMPOSIUM ON COMPUTER ARCHITECTURE AND HIGH PERFORMANCE COMPUTING WORKSHOPS, SBAC-PADW, v. N/A, p. 8-pg., 2023-01-01. (19/26702-8)

CASSALES, GUILHERME; GOMES, HEITOR; BIFET, ALBERT; PFAHRINGER, BERNHARD; SENGER, HERMES. Improving the performance of bagging ensembles for data streams through mini-batching. INFORMATION SCIENCES, v. 580, p. 260-282, NOV 2021. (18/22979-2, 19/26702-8, 15/24461-2)

LINO DANIEL, JOAO FRANCISCO; GOLDMAN, ALFREDO; MARTINS, EDUARDO GUERRA; LEONG, HV; SARVESTANI, SS; TERANISHI, Y; CUZZOCREA, A; KASHIWAZAKI, H; TOWEY, D; YANG, JJ; et al. Are knowledge and usage of microservices patterns aligned? An exploratory study with professionals. 2022 IEEE 46TH ANNUAL COMPUTERS, SOFTWARE, AND APPLICATIONS CONFERENCE (COMPSAC 2022), v. N/A, p. 6-pg., 2022-01-01. (19/26702-8)

KRUGER, KLEBER; PANNAIN, RICARDO; AZEVEDO, RODOLFO. DONUTS: An efficient method for checkpointing in non-volatile memories. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, v. N/A, p. 19-pg., 2023-01-24. (19/26702-8, 13/08293-7)

PIMENTA, GUILHERME B. A.; DALLAQUA, FERNANDA B. J. R.; FAZENDA, ALVARO; FARIA, FABIO A.; DECARVALHO, BM; GONCALVES, LMG. Neuroevolution-based Classifiers for Deforestation Detection in Tropical Forests. 2022 35TH SIBGRAPI CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI 2022), v. N/A, p. 6-pg., 2022-01-01. (19/26702-8, 15/24485-9, 14/50937-1, 18/23908-1, 17/25908-6)

LUZ, HELDER J. F.; SOUZA, PAULO S. L.; SOUZA, SIMONE R. S.. Structural testing for CUDA programming model. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, v. 36, n. 14, p. 26-pg., 2024-04-09. (19/26702-8, 19/23474-4, 20/09560-2, 08/00553-1)

AMARIS, MARCOS; CAMARGO, RAPHAEL; CORDEIRO, DANIEL; GOLDMAN, ALFREDO; TRYSTRAM, DENIS. Evaluating execution time predictions on GPU kernels using an analytical model and machine learning techniques. JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, v. 171, p. 13-pg., 2023-01-01. (19/26702-8, 15/19399-6, 21/06867-2, 12/23300-7)

MALTEMPI, THIAGO; RIGO, SANDRO; PEREIRA, MARCIO; YVIQUEL, HERVE; LEITE, GUSTAVO; LEE, ORLANDO; COSTA, JESSE; ARAUJO, GUIDO. Checkpointing fine-tuning for accelerating seismic applications in GPUs. INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS, v. N/A, p. 19-pg., 2025-05-13. (19/26702-8)

BORLIDO, ISABELA; BOUHID, EDUARDO; SUNDERMANN, VICTOR; RESENDE, HUGO; FAZENDA, ALVARO LUIZ; FARIA, FABIO; GUIMAR, SILVIO JAMIL F.. How to Identify Good Superpixels for Deforestation Detection on Tropical Rainforests. IEEE Geoscience and Remote Sensing Letters, v. 21, p. 5-pg., 2024-01-01. (19/26702-8, 14/50937-1, 23/00811-0, 18/23908-1, 23/00782-0, 15/24485-9, 17/25908-6)