Zobrazeno 1 - 10
of 80
pro vyhledávání: '"Marco A. Z. Alves"'
Publikováno v:
ACM Transactions on Privacy and Security. 25:1-34
AntiViruses (AVs) are essential to face the myriad of malware threatening Internet users. AVs operate in two modes: on-demand checks and real-time verification. Software-based real-time AVs intercept system and function calls to execute AV’s inspec
Autor:
Luigi Carro, Francis B. Moreira, Marco A. Z. Alves, Tiago Rodrigo Kepe, Aline Santana Cordeiro, Sairo R. dos Santos, Paulo C. Santos
Publikováno v:
Journal of Integrated Circuits and Systems. 16:1-17
One of the main challenges for modern processors is the data transfer between processor and memory. Such data movement implies high latency and high energy consumption. In this context, Near-Data Processing (NDP) proposals have started to gain accept
Publikováno v:
Anais do XXIII Simpósio em Sistemas Computacionais de Alto Desempenho (WSCAD 2022).
Processing-In-Memory (PIM) devices usually implement vector instructions to efficiently utilize the large main memory bandwidth. One possible way to vectorize applications for such PIM systems is to convert CPU instructions into PIM vector instructio
Autor:
Marisa S. Franco, Simone Dominico, Tiago R. Kepe, Luiz C. P. Albini, Eduardo C. de Almeida, Marco A. Z. Alves
Publikováno v:
Journal of Information and Data Management. 13
Distributed database systems store and manipulate data on multiple machines. In these systems, the processing cost of query operations is mainly impacted by the data access latency between machines over the network. With recent technology advances in
Publikováno v:
2022 IEEE 33rd International Conference on Application-specific Systems, Architectures and Processors (ASAP).
Publikováno v:
2022 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS).
Autor:
Paulo C. Santos, João Paulo Cardoso de Lima, Antonio Carlos Schneider Beck, Luigi Carro, Marco A. Z. Alves, Rafael Fao de Moura
Publikováno v:
International Journal of Parallel Programming. 49:237-252
Processing-in-Memory (PIM) or Near-Data Accelerator (NDA) has been recently revisited to mitigate the issues of memory and power wall, mainly supported by the maturity of 3D-staking manufacturing technology, and the increasing demand for bandwidth an
Publikováno v:
Anais da XXII Escola Regional de Alto Desempenho da Região Sul (ERAD-RS 2022).
The data filter is essential in data-centric applications, but it requires moving large data sets to the processing units. One approach to tackle such a hassle is data compression by using lightweight compression methods such as dictionary encoding.
Publikováno v:
Anais da XXII Escola Regional de Alto Desempenho da Região Sul (ERAD-RS 2022).
Apresentamos neste artigo uma proposta de uso e otimização de algoritmos de aprendizagem de máquina, tais como Random Forest e Gradient Boosting, para melhorar o desempenho e acurácia da Estimativa Quantitativa de Precipitação (QPE), utilizando
Publikováno v:
2022 30th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP).