Antonio Pullini
YOU?
Author Swipe
Vega: A Ten-Core SoC for IoT Endnodes With DNN Acceleration and Cognitive Wake-Up From MRAM-Based State-Retentive Sleep Mode Open
The Internet-of-Things requires end-nodes with ultra-low-power always-on\ncapability for a long battery lifetime, as well as high performance, energy\nefficiency, and extreme flexibility to deal with complex and fast-evolving\nnear-sensor …
4.4 A 1.3TOPS/W @ 32GOPS Fully Integrated 10-Core SoC for IoT End-Nodes with 1.7μW Cognitive Wake-Up From MRAM-Based State-Retentive Sleep Mode Open
The Internet-of-Things requires end-nodes with ultra-low-power always-on capability for long battery lifetime, as well as high performance, energy efficiency, and extreme flexibility to deal with complex and fast-evolving near-sensor analy…
MemPool: A Shared-L1 Memory Many-Core Cluster with a Low-Latency Interconnect Open
A key challenge in scaling shared-L1 multi-core clusters towards many-core (more than 16 cores) configurations is to ensure low-latency and efficient access to the L1 memory. In this work we demonstrate that it is possible to scale up the …
MemPool: A Shared-L1 Memory Many-Core Cluster with a Low-Latency Interconnect Open
A key challenge in scaling shared-L1 multi-core clusters towards many-core (more than 16 cores) configurations is to ensure low-latency and efficient access to the L1 memory. In this work we demonstrate that it is possible to scale up the …
Mr.Wolf: An Energy-Precision Scalable Parallel Ultra Low Power SoC for IoT Edge Processing Open
This paper presents Mr. Wolf, a parallel ultra-low power (PULP) system on chip (SoC) featuring a hierarchical architecture with a small (12 kgates) microcontroller (MCU) class RISC-V core augmented with an autonomous IO subsystem for effic…
Quentin: an Ultra-Low-Power PULPissimo SoC in 22nm FDX Open
The End-Nodes of the Internet of Things (IoT) require extreme energy efficiency coupled with wide power performance operating range. Fully-depleted SOI (FD-SOI) is an attractive technology for ultra-low power and wide-range operation as it…
Independent Body-Biasing of P-N Transistors in an 28nm UTBB FD-SOI ULP Near-Threshold Multi-Core Cluster Open
Advanced Ultra-Low Power (ULP) computing platforms can be affected by large performance variations. This phenomenon is mainly caused by process and ambient temperature variations, and it is magnified by the strong Temperature Effect Invers…
A Self-Aware Architecture for PVT Compensation and Power Nap in Near Threshold Processors Open
As technology edges closer to fundamental limits, variations of process parameters, operational voltage, and temperature (PVT variations) have to be accounted for. This paper proposes to make higher levels aware of these variations and bri…
View article: Energy-Efficient Near-Threshold Parallel Computing: The PULPv2 Cluster
Energy-Efficient Near-Threshold Parallel Computing: The PULPv2 Cluster Open
This article presents an ultra-low-power parallel computing platform and its system-on-chip (SoC) embodiment, targeting a wide range of emerging near-sensor processing tasks for Internet of Things (IoT) applications. The proposed SoC achie…
Temperature and process-aware performance monitoring and compensation for an ULP multi-core cluster in 28nm UTBB FD-SOI technology Open
Environmental temperature variations, as well as process variations, have a detrimental effect on performance and reliability of embedded systems implemented with deep-sub micron technologies. This sensitivity significantly increases in ul…
Near-Threshold RISC-V Core With DSP Extensions for Scalable IoT Endpoint Devices Open
Endpoint devices for Internet-of-Things not only need to work under extremely tight power envelope of a few milliwatts, but also need to be flexible in their computing capabilities, from a few kOPS to GOPS. Near-threshold(NT) operation can…
A Heterogeneous Multicore System on Chip for Energy Efficient Brain Inspired Computing Open
Convolutional Neural Networks (CNNs) have revolutionized computer vision, speech recognition and other fields requiring strong classification capabilities. These strenghts make CNNs appealing in edge node internet-of-things (IoT) applicati…
A near-threshold RISC-V core with DSP extensions for scalable IoT\n Endpoint Devices Open
Endpoint devices for Internet-of-Things not only need to work under extremely\ntight power envelope of a few milliwatts, but also need to be flexible in their\ncomputing capabilities, from a few kOPS to GOPS. Near-threshold(NT) operation\n…
View article: 193 MOPS/mW @ 162 MOPS, 0.32V to 1.15V voltage range multi-core accelerator for energy efficient parallel and sequential digital processing
193 MOPS/mW @ 162 MOPS, 0.32V to 1.15V voltage range multi-core accelerator for energy efficient parallel and sequential digital processing Open
Low power (mW) and high performance (GOPS) are strong requirements for compute-intensive signal processing in E-health, Internet-of-Things, and wearable applications. This work presents a building block for programmable Ultra-Low Power acc…