π€ AI Summary
To address resource contention and task execution blocking caused by dynamic partial reconfiguration (DPR) in shared-datacenter FPGAs, this paper proposes VersaSlotβa novel system architecture. Methodologically, it introduces the first FPGA-specific Big.Little spatio-temporal partitioning architecture, enabling fine-grained, high-utilization decoupling of spatial and temporal resources; designs a contention-aware adaptive partition scheduling mechanism; and supports cross-board, non-interruptible real-time migration. Implemented on the Xilinx UltraScale+ ZCU216 platform and integrated with a cluster-wide unified scheduler, VersaSlot achieves significant improvements over state-of-the-art approaches. Evaluation results show that, compared to time-division multiplexing baselines, it reduces average response time by 13.66Γ; outperforms the best existing spatio-temporal multiplexing scheme by 2.19Γ; and increases average logic utilization (LUTs) and flip-flop (FF) utilization by 35% and 29%, respectively.
π Abstract
As FPGAs gain popularity for on-demand application acceleration in data center computing, dynamic partial reconfiguration (DPR) has become an effective fine-grained sharing technique for FPGA multiplexing. However, current FPGA sharing encounters partial reconfiguration contention and task execution blocking problems introduced by the DPR, which significantly degrade application performance. In this paper, we propose VersaSlot, an efficient spatio-temporal FPGA sharing system with novel Big.Little slot architecture that can effectively resolve the contention and task blocking while improving resource utilization. For the heterogeneous Big.Little architecture, we introduce an efficient slot allocation and scheduling algorithm, along with a seamless cross-board switching and live migration mechanism, to maximize FPGA multiplexing across the cluster. We evaluate the VersaSlot system on an FPGA cluster composed of the latest Xilinx UltraScale+ FPGAs (ZCU216) and compare its performance against four existing scheduling algorithms. The results demonstrate that VersaSlot achieves up to 13.66x lower average response time than the traditional temporal FPGA multiplexing, and up to 2.19x average response time improvement over the state-of-the-art spatio-temporal sharing systems. Furthermore, VersaSlot enhances the LUT and FF resource utilization by 35% and 29% on average, respectively.