A5068441655- Caching and Content Delivery
- Parallel Computing and Optimization Techniques
- Advanced Data Storage Technologies
- Cloud Computing and Resource Management
- Distributed and Parallel Computing Systems
Hanyang University
2020-2023
Sparse matrix multiplication (spGEMM) is widely used to analyze the sparse network data, and extract important information based on representation. As it contains a high degree of data parallelism, many efficient implementations using data-parallel programming platforms such as CUDA OpenCL have been introduced graphic processing units (GPUs). Several well-known spGEMM techniques, cuS- PARSE CUSP, often do not utilize GPU resources fully, owing load imbalance between threads in expansion...
As solid-state drives (SSDs) with sufficient computing power have recently become the dominant devices in modern computer systems, in-storage processing (ISP), which processes data within storage without transferring it to host memory, is being utilized various emerging applications. The main challenge of ISP deliver offloaded workload. This difficult because information gap between and storage, consistency problem workloads, SSD-specific hardware limitations. Moreover, workloads use...