We present INSIDER, a full-stack redesigned storage system to help users fully utilize the
performance of emerging storage drives with moderate programming efforts. On the …

Image processing is becoming an increasingly important domain for many applications on
workstations and the datacenter that require accelerators for high performance and energy …

Indexes are special purpose data structures, designed to facilitate and speed up the access
to the contents of a file. Indexing has been actively and extensively investigated in DBMSes …

Today's cloud storage stack is extremely resource hungry, burning 10-20% of datacenter
x86 cores, a major" storage tax" that cloud providers must pay. Yet, the complex cloud …

ABSTRACT Computational Storage Devices (CSDs), which are storage devices including
general-purpose, special-purpose, and/or reconfigurable processing units, are now …

Conventional multicores rely on deep cache hierarchies to reduce data movement. Recent
advances in die stacking have enabled near-data processing (NDP) systems that reduce …

Abstract Non-Volatile Main Memories (NVMMs) have recently emerged as a promising
technology for future memory systems. Generally, NVMMs have many desirable properties …

We present the design and implementation of TH-iSSD, a near-data processing framework
to address the data movement problem. TH-iSSD does not pose any restriction to the …

Machine learning under resource constraints Katharina Morik, Peter Marwedel (Eds.) Machine
Learning under Resource Constraints· Fundamentals Page 2 Also of interest Volume 2 …

We introduce blockNDP, a set of hardware and software protocol and interface extensions to
enable block-oriented near data processing (NDP) within emerging solid-state drives …