SELECTED PUBLICATIONS

.For a full list of publication, check my Lattes curriculum. 

1. Carastan-Santos, D ; Martins-Jr, DC ; Song, SW ; Rozante, LCS ; de Camargo, RY . A hybrid CPU-GPU-MIC algorithm for minimal hitting set enumeration. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, v. 1, p. e5087, 2018.

2. Carastan-Santos, D ; de Camargo, RY. Obtaining dynamic scheduling policies with simulation and machine learning. Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis on - SC '17, 2017. p. 1-10.

3. Carastan-Santos, D ; de Camargo, RY ; Martins-Jr, DC ; Song, SW; Rozante, LCS. Finding exact hitting set solutions for systems biology applications using heterogeneous GPU clusters. Future Generation Computer Systems, v. 67, p. 418-429, 2016.

4. Carastan-Santos, D ; de Camargo, RY ; Martins-Jr, DC ; Song, SW ; Rozante, LCS; Borelli, FF. A Multi-GPU Hitting Set Algorithm for GRNs Inference. 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), 2015, Shenzhen. 

5. Sant'Ana, L; Cordeiro, D; de Camargo, RY. PLB-HeC: A Profile-Based Load-Balancing Algorithm for Heterogeneous CPU-GPU Clusters. In: 2015 IEEE International Conference on Cluster Computing (CLUSTER), 2015, Chicago. 2015 IEEE International Conference on Cluster Computing. p. 96-105.

6. Amaris, MA ; de Camargo, RY ; Dyab, M ; Goldman, Alfredo ; Trystam, D. A comparison of GPU execution time prediction using machine learning and analytical modeling. 2016 IEEE 15th International Symposium on Network Computing and Applications (NCA), 2016. p. 326.

7. Amaris, MA ; Cordeiro, D ; Goldman, Alfredo ; de Camargo, RY. A Simple BSP-based Model to Predict Execution Time in GPU Applications. In: 2015 IEEE 22nd International Conference on High Performance Computing (HiPC), 2015, Bengaluru. 2015 IEEE 22nd International Conference on High Performance Computing (HiPC), 2015. p. 285-294.

8. Borelli, FF ; de Camargo, RY ; Martins Jr., D. C. ; Rozante, Luiz . Gene regulatory networks inference using a multi-GPU exhaustive search algorithm. BMC Bioinformatics, v. 14, p. S5, 2013.

9. de Camargo, Raphael Y.; Rozante, Luiz ; Song, Siang W. . A multi-GPU algorithm for large-scale neuronal networks. Concurrency and Computation, v. 23, p. 556-572, 2011.  

10. de Camargo, RY. A Multi-GPU Algorithm for Communication in Neuronal Network Simulations. In: 18th IEEE Annual International Conference on High Performance Computing (HiPC 2011), 2011, Bangalore