Energy-efficient system design for IoT devices
It is projected that, within the coming decade, there will be more than 50 billion smart objects
connected to the Internet of Things (IoT). These smart objects, which connect the physical …
connected to the Internet of Things (IoT). These smart objects, which connect the physical …
An overview of DRAM-based security primitives
Recent developments have increased the demand for adequate security solutions, based on
primitives that cannot be easily manipulated or altered, such as hardware-based primitives …
primitives that cannot be easily manipulated or altered, such as hardware-based primitives …
D-PUF: An intrinsically reconfigurable DRAM PUF for device authentication in embedded systems
Physically Unclonable Functions (PUFs) have proved to be effective and low-cost measure
against counterfeiting by providing device authentication and secure key storage services …
against counterfeiting by providing device authentication and secure key storage services …
Quality configurable approximate DRAM
Approximate computing is an emerging design paradigm that leverages the inherent error
tolerance present in many applications to improve their power consumption and …
tolerance present in many applications to improve their power consumption and …
SAADI-EC: A quality-configurable approximate divider for energy efficiency
Energy efficiency is one of the most crucial constraints that dictate performance, lifetime,
form factor, and cost in modern computing system design. However, the energy efficiency …
form factor, and cost in modern computing system design. However, the energy efficiency …
Circuit-level techniques for logic and memory blocks in approximate computing systemsx
This article presents an overview of circuit-level techniques used for approximate computing
(AC), including both computation and data storage units. After providing some background …
(AC), including both computation and data storage units. After providing some background …
Concise loads and stores: The case for an asymmetric compute-memory architecture for approximation
Cache capacity and memory bandwidth play critical roles in application performance,
particularly for data-intensive applications from domains that include machine learning …
particularly for data-intensive applications from domains that include machine learning …
Towards full-system energy-accuracy tradeoffs: A case study of an approximate smart camera system
A Raha, V Raghunathan - Proceedings of the 54th Annual Design …, 2017 - dl.acm.org
The intrinsic error resilience exhibited by emerging application domains enables a new
dimension for energy optimization of computing systems, namely the introduction of a …
dimension for energy optimization of computing systems, namely the introduction of a …
D-PUF: An intrinsically reconfigurable DRAM PUF for device authentication and random number generation
Physically Unclonable Functions (PUFs) have proved to be an effective and low-cost
measure against counterfeiting by providing device authentication and secure key storage …
measure against counterfeiting by providing device authentication and secure key storage …
Approximate computing with partially unreliable dynamic random access memory-approximate DRAM
In the context of approximate computing, Approximate Dynamic Random Access Memory
(ADRAM) enables the tradeoff between energy efficiency, performance and reliability. The …
(ADRAM) enables the tradeoff between energy efficiency, performance and reliability. The …