Deep neural networks (DNNs) have been widely adopted, owing to break-through performance and high accuracy. DNNs exhibit varying memory behavior involving specific and recognizable memory access patterns and access intensity, depending on the selected ...

Recent edge devices show high power density in CPUs, resulting in excessive heat generation. Since mechanical cooling solutions are impractical in edge devices due to their small form factor, software-controlled dynamic thermal management (DTM) plays a ...

The recent shift in the VLSI industry from conventional MOSFET to FinFET for designing contemporary chip-multiprocessor (CMP) has noticeably improved hardware platforms’ computing capabilities, but at the cost of several thermal issues. Unlike the ...

Deep neural network (DNN) implementations are typically characterized by huge datasets and concurrent computation, resulting in a demand for high memory bandwidth due to intensive data movement between processors and off-chip memory. Performing DNN ...

3D memory systems offer several advantages in terms of area, bandwidth, and energy efficiency. However, thermal issues arising out of higher power densities have limited their widespread use. While prior works have looked at reducing dynamic power ...

The increasing complexity of computing architectures is pushing for novel Dynamic Thermal Management (DTM) techniques. Accordingly, more accurate power and thermal models are required. In this work, we propose a thermal controller based on a constrained ...

Due to limitations of cooling methods such as using fan and heat sink, dynamic thermal management (DTM) is being widely adopted to manage the temperature of computing systems. However, application of DTM can reduce the system performance and thereby ...

Dynamic thermal management (DTM) is commonly used to ensure reliable and safe operation in modern computing systems. DTM techniques are based on slowing down or shutting down parts of a system; hence, they effectively reduce system performance and thereby ...

This paper presents a task priority scaling algorithm for dynamic thermal management of multi-core processors. The unique features of this algorithm include: 1) enabling task-level Dynamic Frequency Scaling (DFS) capability through software, 2) reducing ...

Recent empirical studies have shown that multicore scaling is fast becoming power limited, and consequently, an increasing fraction of a multicore processor has to be under clocked or powered off. Therefore, in addition to fundamental innovations in ...

Cooling equipments is a thermal management technique that reduces the thermal resistance of the heat sink without any performance degradation. However, higher fan speed produces a lower thermal resistance, but at the expense of higher power consumption. ...

Due to embedded systems' stringent design constraints, much prior work focused on optimizing energy consumption and/or performance. However, since embedded systems have fewer cooling options, rising temperature, and thus temperature optimization, is an ...

On-chip temperatures continue to rise, in spite of design efforts towards more efficient cooling and novel low-power technologies. Run-time thermal management techniques, such as speed scaling and system throttling, constitute a standard component in ...

This paper presents an application-driven algorithm for Dynamic Thermal Management (DTM) for the High Efficiency Video Coding (HEVC). For efficient design of such a DTM policy, we perform an offline thermal analysis of an HEVC encoder and demonstrate ...

The thermal management is a crucial design problem for mobile devices because it greatly affects not only the device reliability, but also the leakage energy consumption. Conventional dynamic thermal management (DTM) techniques work well for the ...

Constraining the temperature of computing systems has become a dominant aspect in the design of integrated circuits. The supply voltage decrease has lost its pace even though the feature size is shrinking constantly. This results in an increased number ...

As power density increases with high technology, the high temperature has threatened the system performance, reliability, and even system safety. Development of a thermal management method to reduce hotspot and to balance the temperature distribution ...

Traditionally, hypervisors, operating systems, and runtime systems have been providing an abstraction layer over the bare-metal hardware. Traditional abstractions, however, do not consider for non-functional requirements such as system-level constraints ...

The thermal behavior of on-chip systems is crucial in order to maintain a reliable operation throughout its lifetime. Potential thermal hotspots like, for example, register files are particularly responsible for unreliable behavior and have therefore ...

In deep submicrometer era, thermal hot spots, and large temperature gradients significantly impact systemreliability, performance, cost, and leakage power. As the system complexity increases, it is more and more difficult to perform thermal management ...