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A novel application development environment for large-scale scientific computations., , , , , , , and . ICS, page 274-283. ACM, (2000)Data management for large-scale scientific computations in high performance distributed systems., , , , , , , , , and 1 other author(s). Clust. Comput., 3 (1): 45-60 (2000)High-Performance Techniques for Parallel I/O., , , , and . Handbook of Parallel Computing, Chapman and Hall/CRC, (2007)Design, implementation and evaluation of parallel pipelined STAP on parallel computers., , , , , , and . IEEE Trans. Aerosp. Electron. Syst., 36 (2): 528-548 (2000)IOPro: a parallel I/O profiling and visualization framework for high-performance storage systems., , , , , , and . J. Supercomput., 71 (3): 840-870 (2015)CheMixNet: Mixed DNN Architectures for Predicting Chemical Properties using Multiple Molecular Representations., , , , , and . CoRR, (2018)Processor-embedded distributed smart disks for I/O-intensive workloads: architectures, performance models and evaluation., , , and . J. Parallel Distributed Comput., 64 (3): 427-446 (2004)A high-performance application data environment for large-scale scientific computations., , , , and . IEEE Trans. Parallel Distributed Syst., 14 (12): 1262-1274 (2003)A Case Study on Parallel HDF5 Dataset Concatenation for High Energy Physics Data Analysis., , , , , , , , , and 1 other author(s). CoRR, (2022)A deep learning framework for layer-wise porosity prediction in metal powder bed fusion using thermal signatures., , , , , , , , , and 3 other author(s). J. Intell. Manuf., 34 (1): 315-329 (2023)