[HTML][HTML] A survey on hardware accelerators: Taxonomy, trends, challenges, and perspectives
In recent years, the limits of the multicore approach emerged in the so-called “dark silicon”
issue and diminishing returns of an ever-increasing core count. Hardware manufacturers …
issue and diminishing returns of an ever-increasing core count. Hardware manufacturers …
A survey on optimization techniques for edge artificial intelligence (ai)
Artificial Intelligence (Al) models are being produced and used to solve a variety of current
and future business and technical problems. Therefore, AI model engineering processes …
and future business and technical problems. Therefore, AI model engineering processes …
Sara: Scaling a reconfigurable dataflow accelerator
The need for speed in modern data-intensive work-loads and the rise of" dark silicon" in the
semiconductor industry are pushing for larger, faster, and more energy and area-efficient …
semiconductor industry are pushing for larger, faster, and more energy and area-efficient …
High-level synthesis hardware design for fpga-based accelerators: Models, methodologies, and frameworks
Hardware accelerators based on field programmable gate array (FPGA) and system on chip
(SoC) devices have gained attention in recent years. One of the main reasons is that these …
(SoC) devices have gained attention in recent years. One of the main reasons is that these …
Democratizing domain-specific computing
Democratizing Domain-Specific Computing Page 1 GENERAL-PURPOSE COMPUTERS
ARE widely used in our modern society. There were close to 24 million software …
ARE widely used in our modern society. There were close to 24 million software …
Symphony: Orchestrating sparse and dense tensors with hierarchical heterogeneous processing
Sparse tensor algorithms are becoming widespread, particularly in the domains of deep
learning, graph and data analytics, and scientific computing. Current high-performance …
learning, graph and data analytics, and scientific computing. Current high-performance …