| Data Pallets: Containerizing Storage for Reproducibility and Traceability
|
2019 |
Lofstead, Jay |
| Modernizing Titan2D, a Parallel AMR Geophysical Flow Code to Support Multiple Rheologies and Extendability
|
2019 |
Simakov, Nikolay A. |
| Asynchronous AMR on Multi-GPUs
|
2019 |
Faroogi, Muhammad Nufail |
| Footprinting Parallel I/O - Machine Learning to Classify Application's I/O Behavior
|
2019 |
Betke, Eugen |
| Adventures in NoSQL for Metadata Management
|
2019 |
Lofstead, Jay |
| Performance Evaluation of MPI Libraries on GPU-Enabled OpenPOWER Architectures: Early Experiences
|
2019 |
Khorassani, Kawthar Shafie |
| Exploring the Behavior of Coherent Accelerator Processor Interface (CAPI) on IBM Power8+ Architecture and FlashSystem 900
|
2019 |
Velusamy, Kaushik |
| MagmaDNN: Towards High-Performance Data Analytics and Machine Learning for Data-Driven Scientific Computing
|
2019 |
Nichols, Daniel |
| Sarus: Highly Scalable Docker Containers for HPC Systems
|
2019 |
Benedicic, Lucas |
| Software and Hardware Co-design for Low-Power HPC Platforms
|
2019 |
Ploumidis, Manolis |
| Comparing High Performance Computing Accelerator Programming Models
|
2019 |
Pophale, Swaroop |
| MBWU: Benefit Quantification for Data Access Function Offloading
|
2019 |
Liu, Jianshen |
| Mediating Data Center Storage Diversity in HPC Applications with FAODEL
|
2019 |
Widener, Patrick |
| An Architecture for High Performance Computing and Data Systems Using Byte-Addressable Persistent Memory
|
2019 |
Jackson, Adrian |
| An I/O Analysis of HPC Workloads on CephFS and Lustre
|
2019 |
Chiusole, Alberto |
| Performance Comparison for Neuroscience Application Benchmarks
|
2019 |
Herten, Andreas |
| Three Numerical Reproducibility Issues That Can Be Explained as Round-Off Error
|
2019 |
Mascagni, Michael |
| Deep Learning at Scale for Subgrid Modeling in Turbulent Flows: Regression and Reconstruction
|
2019 |
Bode, Mathis |
| The Role of Interactive Super-Computing in Using HPC for Urgent Decision Making
|
2019 |
Brown, Nick |
| Acceleration of Scientific Deep Learning Models on Heterogeneous Computing Platform with Intel® FPGAs
|
2019 |
Jiang, Chao |
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