4 citations · 6 across the 7 of their papers we have counts for
7 papers
CARAT: Client-Side Adaptive RPC and Cache Co-Tuning for Parallel File Systems
Md Hasanur Rashid, Nathan R. Tallent, Forrest Sheng Bao +1
Tuning parallel file system in High-Performance Computing (HPC) systems remains challenging due to the complex I/O paths, diverse I/O patterns, and dynamic system conditions. While…
DIAL: Decentralized I/O AutoTuning via Learned Client-side Local Metrics for Parallel File System
Md Hasanur Rashid, Xinyi Li, Youbiao He +2
Enabling efficient, high-performance data access in parallel file systems (PFS) is critical for today's high-performance computing systems. PFS client-side I/O heavily impacts the…
Kernel-FFI: Transparent Foreign Function Interfaces for Interactive Notebooks
Hebi Li, Forrest Sheng Bao, Qi Xiao +1
Foreign Function Interfaces (FFIs) are essential for enabling interoperability between programming languages, yet existing FFI solutions are ill-suited for the dynamic, interactive…
IOPathTune: Adaptive Online Parameter Tuning for Parallel File System I/O Path
Md. Hasanur Rashid, Youbiao He, Forrest Sheng Bao +1
Parallel file systems contain complicated I/O paths from clients to storage servers. An efficient I/O path requires proper settings of multiple parameters, as the default settings…
CodePod: A Language-Agnostic Hierarchical Scoping System for Interactive Development
Hebi Li, Forrest Sheng Bao, Qi Xiao +1
Interactive development environments like Jupyter Notebooks enable incremental coding through cells with immediate feedback, but their linear structure and global namespace limit s…
DocAsRef: An Empirical Study on Repurposing Reference-Based Summary Quality Metrics Reference-Freely
Forrest Sheng Bao, Ruixuan Tu, Ge Luo +5
Automated summary quality assessment falls into two categories: reference-based and reference-free. Reference-based metrics, historically deemed more accurate due to the additional…
SueNes: A Weakly Supervised Approach to Evaluating Single-Document Summarization via Negative Sampling
Forrest Sheng Bao, Hebi Li, Ge Luo +4
Canonical automatic summary evaluation metrics, such as ROUGE, focus on lexical similarity which cannot well capture semantics nor linguistic quality and require a reference summar…