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PathFinder, a popular routing algorithm widely used in the state-of-the-art FPGA compilation tools such as VTR 8, has been reported to have a non-negligible variation in the routing quality under routing resource constraints. Several workaround methods ...

With field-programmable gate arrays (FPGAs) being widely deployed in data centers to enhance the computing performance, an efficient virtualization support is required to fully unleash the potential of cloud FPGAs. However, the system support for ...

With field-programmable gate arrays (FPGAs) being widely deployed into data centers, an efficient virtualization support is required to fully unleash the potential of cloud FPGAs. Nevertheless, existing FPGA virtualization solutions only support a ...

While field-programmable gate arrays (FPGAs) have been widely deployed into cloud platforms, the high programming complexity and the inability to manage FPGA resources in an elastic/scalable manner largely limits the adoption of FPGA acceleration. ...

Emerging three-dimensional (3D) memory technologies, such as the Hybrid Memory Cube (HMC) and High Bandwidth Memory (HBM), provide high-bandwidth and massive memory-level parallelism. With the growing heterogeneity and complexity of computer systems (...

Associative processing (AP) is a promising PIM paradigm that overcomes the von Neumann bottleneck (memory wall) by virtue of a radically different execution model. By decomposing arbitrary computations into a sequence of primitive memory operations (...

Field-Programmable Gate Arrays (FPGAs) have been integrated into the cloud infrastructure to enhance its computing performance by supporting on-demand acceleration. However, system support for FPGAs in the context of the cloud environment is still in ...

With the recent trend of promoting Field-Programmable Gate Arrays (FPGAs) to first-class citizens in accelerating compute-intensive applications in networking, cloud services and artificial intelligence, FPGAs face two major challenges in sustaining ...

This paper presents a data-centric reconfigurable architecture, namely Liquid Silicon, enabled by emerging non-volatile memory, i.e., RRAM. Compared to the heterogeneous architecture of commercial FPGAs, Liquid Silicon is inherently a homogeneous ...

The rapid growth in network bandwidth and the ever more sophisticated network attack techniques pose challenges to current network intrusion detection systems (NIDS). While software-based solutions are incapable of performing wire-speed network traffic ...

Recent advances in resistive random-access memory (RRAM) evoke great interests in exploring alternative architectures. One interesting work is a RRAM-based reconfigurable architecture that provides superior programmbility and blurs the boundary between ...

Recent advances in resistive random-access memory (RRAM) evoke great interests in exploring alternative architectures. One interesting work is a RRAM-based reconfigurable architecture that provides superior programmbility and blurs the boundary between ...

The confluence of the recent advances in technology and the ever-growing demand for large-scale data analytics created a renewed interest in a decades-old concept, processing-in-memory (PIM). PIM, in general, may cover a very wide spectrum of compute ...

This poster presents a data-centric reconfigurable architecture, which is enabled by emerging non-volatile memory, i.e., RRAM. Compared to the heterogeneous architecture of commercial FPGAs, it is inherently a homogeneous architecture comprising of a ...

Driven by recent advances in resistive random-access memory (RRAM), there have been growing interests in exploring alternative computing concept, i.e., in-memory processing, to address the classical von Neumann bottlenecks. Despite of their great promise ...