Approximate computing: Concepts, architectures, challenges, applications, and future directions
The unprecedented progress in computational technologies led to a substantial proliferation
of artificial intelligence applications, notably in the era of big data and IoT devices. In the …
of artificial intelligence applications, notably in the era of big data and IoT devices. In the …
Side-channel attack analysis on in-memory computing architectures
In-memory computing (IMC) systems have great potential for accelerating data-intensive
tasks such as deep neural networks (DNNs). As DNN models are generally highly …
tasks such as deep neural networks (DNNs). As DNN models are generally highly …
PIM-trie: A Skew-resistant Trie for Processing-in-Memory
Memory latency and bandwidth are significant bottlenecks in designing in-memory indexes.
Processing-in-memory (PIM), an emerging hardware design approach, alleviates this …
Processing-in-memory (PIM), an emerging hardware design approach, alleviates this …
Practical Mechanisms for Reducing Processor–Memory Data Movement in Modern Workloads
A Boroumand - 2020 - search.proquest.com
Data movement between the memory system and computation units is one of the most
critical challenges in designing high performance and energy-efficient computing systems …
critical challenges in designing high performance and energy-efficient computing systems …
Amplifying Main Memory-Based Timing Covert and Side Channels using Processing-in-Memory Operations
K Kanellopoulos, F Bostanci, A Olgun… - ar** computing-in-memory
(CIM) accelerators to support secure graph databases (GDB). First, we examine the …
(CIM) accelerators to support secure graph databases (GDB). First, we examine the …