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Do Accelerators Work? If So, How?
Organization Science, 2020A fundamental challenge for new ventures is overcoming liabilities of newness - particularly, lack of relevant knowledge. Accelerators, intense, time-compressed entrepreneurial programs, attempt to alleviate these liabilities by providing ventures with ...
Susan L Cohen, Benjamin Hallen
exaly +2 more sources
Construction and Building Materials, 2021
Accelerators are widely used in shotcrete to achieve rapid setting and hardening properties. This paper reviews different chemicals of accelerators and discusses their effects on hydration, microstructure and properties of cement-based materials ...
Caijun Shi, Yihan Ma, Yuchong Xiao
exaly +2 more sources
Accelerators are widely used in shotcrete to achieve rapid setting and hardening properties. This paper reviews different chemicals of accelerators and discusses their effects on hydration, microstructure and properties of cement-based materials ...
Caijun Shi, Yihan Ma, Yuchong Xiao
exaly +2 more sources
How Do Accelerators Impact the Performance of High-Technology Ventures?
Management Science, 2020Accelerators aim to help nascent companies increase the likelihood of funding and successful outcomes by providing capital, enabling connections to industry experts, and increasing exposure to investors.
Sandy Yu
exaly +2 more sources
The role of accelerators in firm survival: An fsQCA analysis of Italian startups
Technovation, 2020Accelerators are a recent yet rapidly growing phenomenon within entrepreneurial ecosystems. The distinctive characteristics exhibited by accelerators, relative to previous incubation models, imply that accelerators may play a different role and have a ...
Diane A Isabelle +2 more
exaly +2 more sources
Accelerating virtualization of accelerators
2021The use of specialized accelerators is among the most promising paths to better energy efficiency for computationally heavy workloads. However, current software and system support for accelerators is limited, and no production-ready solutions have yet been provided for accelerators to be efficiently accessed or shared in domains such as cloud ...
Yu, Hangchen, 0000-0002-6515-6271
openaire +2 more sources
ZigZag: Enlarging Joint Architecture-Mapping Design Space Exploration for DNN Accelerators
IEEE transactions on computers, 2021Building efficient embedded deep learning systems requires a tight co-design between DNN algorithms, hardware, and algorithm-to-hardware mapping, a.k.a. dataflow.
L. Mei +4 more
semanticscholar +1 more source
International Electron Devices Meeting, 2019
DNN+NeuroSim is an integrated framework to benchmark compute-in-memory (CIM) accelerators for deep neural networks, with hierarchical design options from device-level, to circuit-level and up to algorithm-level. A python wrapper is developed to interface
Xiaochen Peng +4 more
semanticscholar +1 more source
DNN+NeuroSim is an integrated framework to benchmark compute-in-memory (CIM) accelerators for deep neural networks, with hierarchical design options from device-level, to circuit-level and up to algorithm-level. A python wrapper is developed to interface
Xiaochen Peng +4 more
semanticscholar +1 more source
, 2021
In many applications such as grouting, shotcrete, and 3D concrete printing, conflicting material requirements exist between the transportation and fabrication process, as fresh materials should be pumped easily with a low stiffening rate and a high ...
Yaxin Tao +5 more
semanticscholar +1 more source
In many applications such as grouting, shotcrete, and 3D concrete printing, conflicting material requirements exist between the transportation and fabrication process, as fresh materials should be pumped easily with a low stiffening rate and a high ...
Yaxin Tao +5 more
semanticscholar +1 more source