122 citations · 125 across the 4 of their papers we have counts for
4 papers
Instruction-Based Coordination of Heterogeneous Processing Units for Acceleration of DNN Inference
Anastasios Petropoulos, Theodore Antonakopoulos
This paper presents an instruction-based coordination architecture for Field-Programmable Gate Array (FPGA)-based systems with multiple high-performance Processing Units (PUs) for…
A Distributed Emulation Environment for In-Memory Computing Systems
Eleni Bougioukou, Anastasios Petropoulos, Nikolaos Toulgaridis +2
In-memory computing technology is used extensively in artificial intelligence devices due to lower power consumption and fast calculation of matrix-based functions. The development…
A Scalable FPGA Architecture With Adaptive Memory Utilization for GEMM-Based Operations
Anastasios Petropoulos, Theodore Antonakopoulos
Deep neural network (DNN) inference relies increasingly on specialized hardware for high computational efficiency. This work introduces a field-programmable gate array (FPGA)-based…
Mixed-precision deep learning based on computational memory
S. R. Nandakumar, Manuel Le Gallo, Christophe Piveteau +11
Deep neural networks (DNNs) have revolutionized the field of artificial intelligence and have achieved unprecedented success in cognitive tasks such as image and speech recognition…