Morrow, 2023
ViewPDF| Publication | Publication Date | Title |
|---|---|---|
| Babuji et al. | Parsl: Pervasive parallel programming in python | |
| Turilli et al. | A comprehensive perspective on pilot-job systems | |
| Deelman et al. | Pegasus, a workflow management system for science automation | |
| Ben-Nun et al. | Groute: An asynchronous multi-GPU programming model for irregular computations | |
| Vavilapalli et al. | Apache hadoop yarn: Yet another resource negotiator | |
| Warneke et al. | Exploiting dynamic resource allocation for efficient parallel data processing in the cloud | |
| Bui et al. | Work queue+ python: A framework for scalable scientific ensemble applications | |
| Iordache et al. | Resilin: Elastic mapreduce over multiple clouds | |
| Van Nieuwpoort et al. | Satin: A high-level and efficient grid programming model | |
| Beaumont et al. | Mixed data-parallel scheduling for distributed continuous integration | |
| Nguyen et al. | On the role of message broker middleware for many-task computing on a big-data platform | |
| Rościszewski et al. | KernelHive: a new workflow‐based framework for multilevel high performance computing using clusters and workstations with CPUs and GPUs | |
| Phillips et al. | Petascale tcl with NAMD, VMD, and Swift/T | |
| Turilli et al. | Characterizing the performance of executing many-tasks on summit | |
| Płóciennik et al. | Approaches to distributed execution of scientific workflows in kepler | |
| Titov et al. | Radical-pilot and pmix/prrte: Executing heterogeneous workloads at large scale on partitioned hpc resources | |
| Katz et al. | Many-task computing and blue waters | |
| Tsuji et al. | Multiple-spmd programming environment based on pgas and workflow toward post-petascale computing | |
| Bonetta et al. | An architectural style for liquid web services | |
| Finnerty et al. | On the performance of malleable APGAS programs and batch job schedulers | |
| Salza et al. | Towards evolutionary machine learning comparison, competition, and collaboration with a multi-cloud platform | |
| Morrow | Distributed Task Scheduling on Cloud Infrastructure for Bioinformatics Workflows and Analysis | |
| Galante et al. | Extending parallel programming patterns with adaptability features | |
| Wozniak et al. | JETS: Language and system support for many-parallel-task workflows | |
| Gudukbay et al. | GYAN: Accelerating bioinformatics tools in galaxy with GPU-aware computation mapping |