neoSYCL: a SYCL implementation for SX-Aurora TSUBASA Y Ke, M Agung, H Takizawa The International Conference on High Performance Computing in Asia-Pacific …, 2021 | 25 | 2021 |
Automatic hyperparameter tuning of machine learning models under time constraints Z Wang, M Agung, R Egawa, R Suda, H Takizawa 2018 IEEE international conference on big data (Big Data), 4967-4973, 2018 | 14 | 2018 |
Preemptive parallel job scheduling for heterogeneous systems supporting urgent computing M Agung, Y Watanabe, H Weber, R Egawa, H Takizawa IEEE Access 9, 17557-17571, 2021 | 13 | 2021 |
Failure prediction in datacenters using unsupervised multimodal anomaly detection M Zhao, R Furuhata, M Agung, H Takizawa, T Soma 2020 IEEE International Conference on Big Data (Big Data), 3545-3549, 2020 | 13 | 2020 |
DeLoc: a locality and memory-congestion-aware task mapping method for modern NUMA systems M Agung, MA Amrizal, R Egawa, H Takizawa IEEE Access 8, 6937-6953, 2020 | 9 | 2020 |
Improving quantum annealing performance on embedded problems MR Zielewski, M Agung, R Egawa, H Takizawa Supercomputing Frontiers and Innovations 7 (4), 32-48, 2020 | 8 | 2020 |
A memory congestion-aware MPI process placement for modern NUMA systems M Agung, MA Amrizal, K Komatsu, R Egawa, H Takizawa 2017 IEEE 24th International Conference on High Performance Computing (HiPC …, 2017 | 8 | 2017 |
Peachy parallel assignments (EduHPC 2019) M Agung, MA Amrizal, S Bogaerts, R Egawa, DA Ellsworth, ... 2019 IEEE/ACM Workshop on Education for High-Performance Computing (EduHPC …, 2019 | 6 | 2019 |
An automatic MPI process mapping method considering locality and memory congestion on NUMA systems M Agung, MA Amrizal, R Egawa, H Takizawa 2019 IEEE 13th International Symposium on Embedded Multicore/Many-core …, 2019 | 6 | 2019 |
Evaluating i/o acceleration mechanisms of SX-Aurora TSUBASA Y Sasaki, A Ishizuka, M Agung, H Takizawa 2021 IEEE International Parallel and Distributed Processing Symposium …, 2021 | 5 | 2021 |
A failure prediction-based adaptive checkpointing method with less reliance on temperature monitoring for HPC applications MA Amrizal, P Li, M Agung, R Egawa, H Takizawa 2018 IEEE International Conference on Cluster Computing (CLUSTER), 515-523, 2018 | 5 | 2018 |
High performance CDR processing with mapreduce M Agung, AI Kistijantoro 2015 9th International Conference on Telecommunication Systems Services and …, 2015 | 5 | 2015 |
Improving the accuracy in spmv implementation selection with machine learning R Furuhata, M Zhao, M Agung, R Egawa, H Takizawa 2020 Eighth International Symposium on Computing and Networking Workshops …, 2020 | 3 | 2020 |
Use of code structural features for machine learning to predict effective optimizations Y Kawarabatake, M Agung, K Komatsu, R Egawa, H Takizawa 2018 IEEE International Parallel and Distributed Processing Symposium …, 2018 | 3 | 2018 |
Evaluating the Performance and Conformance of a SYCL Implementation for SX-Aurora TSUBASA J Li, M Agung, H Takizawa International Conference on Parallel and Distributed Computing: Applications …, 2021 | 2 | 2021 |
A conflict-aware capacity control mechanism for last-level cache J Liu, R Egawa, M Agung, H Takizawa 2020 Eighth International Symposium on Computing and Networking Workshops …, 2020 | 2 | 2020 |
Thermalaware dynamic checkpoint interval tuning for high performance computing P Li, M Agung, MA Amrizal, R Egawa, H Takizawa poster session at HPC Asia 2018, 1-4, 2018 | 2 | 2018 |
Conflict-aware workload co-execution on SX-aurora TSUBASA R Nunokawa, Y Shimomura, M Agung, R Egawa, H Takizawa CCF Transactions on High Performance Computing 6 (4), 425-438, 2024 | 1 | 2024 |
Towards conflict-aware workload co-execution on SX-Aurora TSUBASA R Nunokawa, Y Shimomura, M Agung, R Egawa, H Takizawa International Conference on Parallel and Distributed Computing: Applications …, 2021 | 1 | 2021 |
Online MPI Process Mapping for Coordinating Locality and Memory Congestion on NUMA Systems M Agung, MA Amrizal, R Egawa, H Takizawa Supercomputing Frontiers and Innovations 7 (1), 71-90, 2020 | 1 | 2020 |