Due to their high computational power and internal memory bandwidth, graphic processing
units (GPUs) have been extensively studied by the database systems research community …

Earth observation (EO) is a prime instrument for monitoring land and ocean processes,
studying the dynamics at work, and taking the pulse of our planet. This article gives a bird's …

We propose RecShard, a fine-grained embedding table (EMB) partitioning and placement
technique for deep learning recommendation models (DLRMs). RecShard is designed …

Limited memory volume is always a performance bottleneck in an in-memory database
management system (IMDBMS) as the data size keeps increasing. To overcome the …

The huge demand for computation in artificial intelligence (AI) is driving unparalleled
investments in hardware and software systems for AI. This leads to an explosion in the …

There has been a growing interest in using GPU to accelerate data analytics due to its
massive parallelism and high memory bandwidth. The main constraint of using GPU for data …

Database management systems are facing growing data volumes. Previous research
suggests that GPUs are well-equipped to quickly process joins and similar stateful …

Integrated data analysis (IDA) pipelines---that combine data management (DM) and query
processing, high-performance computing (HPC), and machine learning (ML) training and …

CXL-based disaggregated memory systems offer options to expand the memory beyond the
limits of a single server via cache-coherent memory expansion cards or memory pools …

GPUs are increasingly used for high-performance and interactive data analytics workloads
due to their capability to accelerate computation using massive parallelism. A key constraint …