International audienceConnected mobile applications, known as the Internet of Things (IoT), require deploying extensive efforts to optimize power consumption and to improve the system performance at the same time. One way to reach this goal is based on sacrificing the computing precision by adopting different approximate computing methodologies for boosting system performance and reducing the power consumption. In this work, Adjustable Precision Computing (APC) based on redundant and on-line arithmetic operators is introduced. It provides the possibility to adapt the computing precision at will, depending on the performance and/or power requirements of the application. The proposed approach supplies an efficient power and area optimized sol...
International audienceFloating-Point (FP) computation using standard IEEE formats has a significant ...
Using standard Floating-Point (FP) formats for computation leads to significant hardware overhead si...
Smart Systems applications often include error resilient computations, due to the presence of noisy ...
In this paper, the authors discuss fine-grain power savings obtained through a technique which we ca...
We present a novel approach to conserve power in networked mobile devices. Our approach exploits com...
We present a novel approach to conserve power in networked mobile devices. Our approach exploits com...
Truncation in digit-precision is a very important and common operation in embedded system design for...
Modern communication systems such as 5G need high computational accuracy and dynamic range. Floating...
Mobile computing is one of the largest untapped reservoirs in today’s pervasive computing world as i...
International audienceMobile and IoT applications must balance increasing processing demands with li...
Clock configuration within constrained general-purpose microcontrollers takes a key role in tuning p...
The increasing performance demands in emerging Internet of Things applications clash with the low en...
Approximation can increase performance or reduce power consump-tion with a simplified or inaccurate ...
Developing portable autonomous systems is highly requested for numerous application domains such as ...
We propose the first hardware implementation of standard arithmetic operators – addition, multiplica...
International audienceFloating-Point (FP) computation using standard IEEE formats has a significant ...
Using standard Floating-Point (FP) formats for computation leads to significant hardware overhead si...
Smart Systems applications often include error resilient computations, due to the presence of noisy ...
In this paper, the authors discuss fine-grain power savings obtained through a technique which we ca...
We present a novel approach to conserve power in networked mobile devices. Our approach exploits com...
We present a novel approach to conserve power in networked mobile devices. Our approach exploits com...
Truncation in digit-precision is a very important and common operation in embedded system design for...
Modern communication systems such as 5G need high computational accuracy and dynamic range. Floating...
Mobile computing is one of the largest untapped reservoirs in today’s pervasive computing world as i...
International audienceMobile and IoT applications must balance increasing processing demands with li...
Clock configuration within constrained general-purpose microcontrollers takes a key role in tuning p...
The increasing performance demands in emerging Internet of Things applications clash with the low en...
Approximation can increase performance or reduce power consump-tion with a simplified or inaccurate ...
Developing portable autonomous systems is highly requested for numerous application domains such as ...
We propose the first hardware implementation of standard arithmetic operators – addition, multiplica...
International audienceFloating-Point (FP) computation using standard IEEE formats has a significant ...
Using standard Floating-Point (FP) formats for computation leads to significant hardware overhead si...
Smart Systems applications often include error resilient computations, due to the presence of noisy ...