Modular data centers (MDCs) that can be placed right at the energy farms and powered mostly by renewable energy, is a flexible and effective approach to lowering the carbon footprint of data centers. However, the main challenge of using renewable energy ...

Learning to segment multiple organs from partially labeled datasets can significantly reduce the burden of manual annotations. However, due to the large domain gap, learning from partially labeled datasets of different modalities has not been well ...

Semi-supervised learning (SSL) has significantly advanced 3D medical image segmentation by effectively reducing the need for laborious dense labeling from radiologists. Traditionally focused on model-centric advancements, we anticipate that the ...

Thanks to the mature manufacturing techniques, flash-based solid-state drives (SSDs) are highly customizable for applications today, which brings opportunities to further improve their storage performance and resource utilization. However, the SSD ...

Chest X-ray (CXR) anatomical abnormality detection aims at localizing and characterising cardiopulmonary radiological findings in the radiographs, which can expedite clinical workflow and reduce observational oversights. Most existing methods ...

Segmenting prostate from MRI is crucial for diagnosis and treatment planning of prostate cancer. Given the scarcity of labeled data in medical imaging, semi-supervised learning (SSL) presents an attractive option as it can utilize both limited ...

This article presents a systematic study on the security of modern file systems, following a vulnerability-centric perspective. Specifically, we collected 377 file system vulnerabilities committed to the CVE database in the past 20 years. We characterize ...

Multimodal magnetic resonance imaging (MRI) provides complementary information for sub-region analysis of brain tumors. Plenty of methods have been proposed for automatic brain tumor segmentation using four common MRI modalities and achieved remarkable ...

In modern solid-state drives (SSDs), the indexing of flash pages is a critical component in their storage controllers. It not only affects the data access performance, but also determines the efficiency of the precious in-device DRAM resource. A ...

Variations in the performance of parallel and distributed systems are becoming increasingly challenging. The runtimes of different executions can vary greatly even with a fixed number of computing nodes. Many HPC applications on supercomputers exhibit ...

Medical images are widely used in clinical practice for diagnosis. Automatically generating interpretable medical reports can reduce radiologists’ burden and facilitate timely care. However, most existing approaches to automatic report generation ...

Due to the rising complexity of the metaverse’s business logic and the low-latency nature of the metaverse, developers typically encounter the challenge of effectively reading, writing, and retrieving historical on-chain data in order to ...

We present ParaCrash, a testing framework for studying crash recovery in a typical HPC I/O stack, and demonstrate its use by identifying 15 new crash-consistency bugs in various parallel file systems (PFS) and I/O libraries. ParaCrash uses a "golden ...

Renewable energy is becoming an important power source for data centers, especially with the zero-carbon waste pledges made by big cloud providers. However, one of the main challenges of renewable energy sources is the high variability of power ...

Rare diseases are characterized by low prevalence and are often chronically debilitating or life-threatening. Imaging-based classification of rare diseases is challenging due to the severe shortage in training examples. Few-shot learning (FSL) ...

Byte-addressable, non-volatile memory (NVM) is emerging as a promising technology. To facilitate its wide adoption, employing NVM in managed runtimes like JVM has proven to be an effective approach (i.e., managed NVM). However, such an approach is ...

Parallel file systems (PFSes) and parallel I/O libraries have been the backbone of high-performance computing (HPC) infrastructures for decades. However, their crash consistency bugs have not been extensively studied, and the corresponding bug-finding or ...

Cost-driven scheduling of service processes mainly focuses on task allocation to achieve the cost minimization from a user’s perspective. As an important challenge, cost-driven scheduling of service processes in hybrid cloud has been ...

• A scheduling model with VM deployment and interval-based charging is formulated.