With the application of cloud computing,big data and AI technology, CPU alone can no longer meet the computing power needs of all walks of life. At present, the two most widely used acceleration components in AI computing platform are GPU and FPGA, but recently FPGA has been frequently favored by various AI giants, such as Microsoft, Baidu are looking forward to the future of FPGA applications
For more than a decade single compute core performance is no longer doubling every 18-24months. Phys...
AbstractModern field-programmable gate arrays (FPGA) play a very important role in designing of new ...
Reconfigurable computing platforms are emerging as the most promising architectures to design genera...
International audienceField Programmable Gate Array (FPGA) draws a significant attention from both i...
In the context of today’s artificial intelligence, the volume of data is exploding. Although scaling...
Artificial intelligence (AI) and machine learning (ML) technology enable computers to run cognitive ...
For the past few years, with rapid development of Internet and big data, artificial intelligence ha...
Floating-point computing with more than one TFLOP of peak performance is already a reality in recent...
In recent years, Field-Programmable Gate Arrays (FPGAs) have become increasingly fascinating as digi...
Field-programmable gate arrays (FPGAs) are integrated circuits designed to be configured by users af...
FPGAs are enabling more applications to be put to the market at a fraction of the cost of ASICs and ...
The big data revolution has ushered an era with ever increasing volumes and complexity of data requi...
Field Programmable Gate Arrays (FPGAs) are a new addition to the world of data center acceleration. ...
Large-scale field-programmable analog arrays (FPAA) have the potential to handle machine inference a...
Field-programmable gate arrays (FPGAs) and, recently, System on Chip (SoC) devices have been applied...
For more than a decade single compute core performance is no longer doubling every 18-24months. Phys...
AbstractModern field-programmable gate arrays (FPGA) play a very important role in designing of new ...
Reconfigurable computing platforms are emerging as the most promising architectures to design genera...
International audienceField Programmable Gate Array (FPGA) draws a significant attention from both i...
In the context of today’s artificial intelligence, the volume of data is exploding. Although scaling...
Artificial intelligence (AI) and machine learning (ML) technology enable computers to run cognitive ...
For the past few years, with rapid development of Internet and big data, artificial intelligence ha...
Floating-point computing with more than one TFLOP of peak performance is already a reality in recent...
In recent years, Field-Programmable Gate Arrays (FPGAs) have become increasingly fascinating as digi...
Field-programmable gate arrays (FPGAs) are integrated circuits designed to be configured by users af...
FPGAs are enabling more applications to be put to the market at a fraction of the cost of ASICs and ...
The big data revolution has ushered an era with ever increasing volumes and complexity of data requi...
Field Programmable Gate Arrays (FPGAs) are a new addition to the world of data center acceleration. ...
Large-scale field-programmable analog arrays (FPAA) have the potential to handle machine inference a...
Field-programmable gate arrays (FPGAs) and, recently, System on Chip (SoC) devices have been applied...
For more than a decade single compute core performance is no longer doubling every 18-24months. Phys...
AbstractModern field-programmable gate arrays (FPGA) play a very important role in designing of new ...
Reconfigurable computing platforms are emerging as the most promising architectures to design genera...