GPUs are critical for maximizing the throughput-per-Watt of deep neural network (DNN)
applications. However, DNN applications often underutilize GPUs, even when using large …

NVMe SSDs based on flash are cheap and offer high throughput. Combining several of
these devices into a single server enables 10 million I/O operations per second or more. Our …

Growing demands for the efficient processing of extreme-scale time series workloads call for
more capable time series database management systems (TSDBMS). Specifically, to …

Flash memory is the de facto standard for data persistence in dataintensive systems. Despite
its benefits, this type of memory has at least one severe disadvantage: it is offered only as …

By providing non-volatility with DRAM-comparable performance, the emerging persistent
memory (PMem) is propelling new key-value (KV) store designs. The recently released Intel …

This extended report presents DDS, a novel disaggregated storage architecture enabled by
emerging networking hardware, namely DPUs (Data Processing Units). DPUs can optimize …

The requirements arising from ever growing amounts of data and tight performance
constraints as well as the limitations encountered in improving conventional CPU …

The idea of pushing computation to storage devices has been explored for decades, without
widespread adoption so far. The definition of Computational Programs namespaces in …

The inherent out-of-place update characteristic of the Log-Structured Merge tree (LSM tree)
cannot guarantee persistent deletion within a specific time window, leading to potential data …

With the rapid development of storage and network technology, emerging high-performance
hardware is being widely applied to the distributed storage cluster. However, existing …