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International Symposium on Computer Architecture, 2021
The self-attention mechanism is rapidly emerging as one of the most important key primitives in neural networks (NNs) for its ability to identify the relations within input entities.
Tae Jun Ham +6 more
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The self-attention mechanism is rapidly emerging as one of the most important key primitives in neural networks (NNs) for its ability to identify the relations within input entities.
Tae Jun Ham +6 more
semanticscholar +1 more source
ACT: designing sustainable computer systems with an architectural carbon modeling tool
International Symposium on Computer Architecture, 2022Given the performance and efficiency optimizations realized by the computer systems and architecture community over the last decades, the dominating source of computing's carbon footprint is shifting from operational emissions to embodied emissions ...
Udit Gupta +6 more
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Design of Quantum Computer Antivirus
IEEE International Symposium on Hardware Oriented Security and Trust, 2023The development of quantum computers has been advancing rapidly in recent years. In addition to researchers and companies building bigger and bigger machines, these computers are already being actively connected to the internet and offered as cloud-based
S. Deshpande +7 more
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IEEE Computer Graphics and Applications, 1991
The term ‘hardware’ is used to cover all those pieces of equipment which are used to implement computer programs. The computer programs themselves are referred to as ‘software’ and are considered in detail in Chapter 3. A third term ‘firmware’ covers those software instructions which have been implemented permanently into the electronic hardware ...
AJ Robotham, A. Yarwood, B. L. Davies
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The term ‘hardware’ is used to cover all those pieces of equipment which are used to implement computer programs. The computer programs themselves are referred to as ‘software’ and are considered in detail in Chapter 3. A third term ‘firmware’ covers those software instructions which have been implemented permanently into the electronic hardware ...
AJ Robotham, A. Yarwood, B. L. Davies
openaire +4 more sources
Dermatologic Clinics, 1986
Computer hardware refers to the physical electronic and mechanical components of a computer system. These components can be broken down into the central processing unit, memory, storage, terminals, and printers. The function of each of these is described and variations discussed. The hardware needed for communications between computers is defined.
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Computer hardware refers to the physical electronic and mechanical components of a computer system. These components can be broken down into the central processing unit, memory, storage, terminals, and printers. The function of each of these is described and variations discussed. The hardware needed for communications between computers is defined.
openaire +2 more sources
Computation on programmable graphics hardware
IEEE Computer Graphics and Applications, 2005GPUs have evolved into powerful and flexible streaming processors with fully programmable floating-point pipelines and tremendous aggregate computational power and memory bandwidth. With these advances, modern GPUs can now perform more functions than the specific graphics computations for which they were designed.
Greg Humphreys +2 more
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There’s plenty of room at the Top: What will drive computer performance after Moore’s law?
Science, 2020From bottom to top The doubling of the number of transistors on a chip every 2 years, a seemly inevitable trend that has been called Moore's law, has contributed immensely to improvements in computer performance. However, silicon-based transistors cannot
C. Leiserson +6 more
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Computer systems hardware [PDF]
, 1995 The connecting hardware element between sensors and actuators is the computer system, with connections being performed using various communications strategies (Chapter 7). In this chapter some of the essential aspects of computers in a real-time environment are introduced.
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Playing for Data: Ground Truth from Computer Games
European Conference on Computer Vision, 2016Recent progress in computer vision has been driven by high-capacity models trained on large datasets. Unfortunately, creating large datasets with pixel-level labels has been extremely costly due to the amount of human effort required.
Stephan R. Richter +3 more
semanticscholar +1 more source