Atomic operations are crucial for most modern parallel and concurrent algorithms, which necessitates their optimized implementation in highly-scalable manycore processors. We pro-pose a modular and efficient, open-source ATomic UNit (ATUN) architecture that can be placed flexibly at different levels of the memory hierarchy. ATUN demonstrates near-optimal linear scaling for various synthetic and real-world workloads on an FPGA prototype with 32 RISC-V cores. We characterize the hardware complexity of our ATUN design in 22 nm FDSOI and find that it scales linearly in area (only 0.5 kGE per core) and logarithmically in the critical path.
Kurth A., Riedel S., Zaruba F., Hoefler T., Benini L. (2020). ATUNs: Modular and scalable support for atomic operations in a shared memory multiprocessor. Institute of Electrical and Electronics Engineers Inc. [10.1109/DAC18072.2020.9218661].
ATUNs: Modular and scalable support for atomic operations in a shared memory multiprocessor
Benini L.
2020
Abstract
Atomic operations are crucial for most modern parallel and concurrent algorithms, which necessitates their optimized implementation in highly-scalable manycore processors. We pro-pose a modular and efficient, open-source ATomic UNit (ATUN) architecture that can be placed flexibly at different levels of the memory hierarchy. ATUN demonstrates near-optimal linear scaling for various synthetic and real-world workloads on an FPGA prototype with 32 RISC-V cores. We characterize the hardware complexity of our ATUN design in 22 nm FDSOI and find that it scales linearly in area (only 0.5 kGE per core) and logarithmically in the critical path.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
