Near-data processing in database systems on native computational storage under HTAP workloads
T Vinçon, C Knödler… - … of the VLDB …, 2022 - publikationen.reutlingen-university …
Today's Hybrid Transactional and Analytical Processing (HTAP) systems, tackle the ever-
growing data in combination with a mixture of transactional and analytical workloads. While …
growing data in combination with a mixture of transactional and analytical workloads. While …
Efficient Tensor Offloading for Large Deep-Learning Model Training based on Compute Express Link
The deep learning models (DL) are becoming bigger, easily beyond the memory capacity of
a single accelerator. The recent progress in large DL training utilizes CPU memory as an …
a single accelerator. The recent progress in large DL training utilizes CPU memory as an …
DANSEN: Database acceleration on native computational storage by exploiting NDP
This article introduces DANSEN, the hardware accelerator component for neoDBMS, a full-
stack computational storage system designed to manage on-device execution of database …
stack computational storage system designed to manage on-device execution of database …
NVMulator: A configurable open-source non-volatile memory emulator for FPGAs
Abstract Near-Data Processing (NDP) is a key computing paradigm for reducing the ever
growing time and energy costs of data transport versus computations. With their flexibility …
growing time and energy costs of data transport versus computations. With their flexibility …