FPGA hardware accelerators have recently enjoyed significant attention as platforms for further accelerating computation in the datacenter but they potentially add additional layers of hardware and software interfacing that can further increase communication latency. In this paper, we characterize these overheads for streaming applications where latency can be an important consideration. We examine the latency and throughput characteristics of traditional server-based PCIe connected accelerators, and the more recent approach of network attached FPGA accelerators. We additionally quantify the additional overhead introduced by virtualising accelerators on FPGAs
In recent years, network bandwidth has increased at a rapid pace, moving from 10G, to 40G/100G, to 4...
With the introduction of Virtual Network Functions (VNF), network processing is no longer done solel...
High-Performance Computing (HPC) necessarily requires computing with a large number of nodes. As co...
Transmitting data to cloud datacenters in distributed IoT applications introduces significant commun...
A new class of accelerator interfaces has signi cant implications on system architecture. An order o...
Hardware accelerators implement custom architectures to significantly speed up computations in a wid...
FPGA technology is becoming a vital alternative to CPU-based processing as the performance of CPU te...
The high demand for addressing the required processing power of today's big-data and compute-intensi...
Importance of low-latency heterogeneous systems in today’s world is immeasurable, which was proven i...
Field-Programmable Gate Arrays (FPGAs) increasingly assume roles as hardware accelerators which sign...
Streaming processing is an important technology that finds applications in networking, multimedia, s...
FPGAs offer high performance coupled with energy efficiency, making them extremely attractive comput...
Field Programmable Gate Arrays (FPGAs) are a new addition to the world of data center acceleration. ...
In many domains, accelerators---such as graphic processing units (GPUs) and field programmable gate ...
Coarse-grained FPGA overlays improve design productivity through software-like programmability and f...
In recent years, network bandwidth has increased at a rapid pace, moving from 10G, to 40G/100G, to 4...
With the introduction of Virtual Network Functions (VNF), network processing is no longer done solel...
High-Performance Computing (HPC) necessarily requires computing with a large number of nodes. As co...
Transmitting data to cloud datacenters in distributed IoT applications introduces significant commun...
A new class of accelerator interfaces has signi cant implications on system architecture. An order o...
Hardware accelerators implement custom architectures to significantly speed up computations in a wid...
FPGA technology is becoming a vital alternative to CPU-based processing as the performance of CPU te...
The high demand for addressing the required processing power of today's big-data and compute-intensi...
Importance of low-latency heterogeneous systems in today’s world is immeasurable, which was proven i...
Field-Programmable Gate Arrays (FPGAs) increasingly assume roles as hardware accelerators which sign...
Streaming processing is an important technology that finds applications in networking, multimedia, s...
FPGAs offer high performance coupled with energy efficiency, making them extremely attractive comput...
Field Programmable Gate Arrays (FPGAs) are a new addition to the world of data center acceleration. ...
In many domains, accelerators---such as graphic processing units (GPUs) and field programmable gate ...
Coarse-grained FPGA overlays improve design productivity through software-like programmability and f...
In recent years, network bandwidth has increased at a rapid pace, moving from 10G, to 40G/100G, to 4...
With the introduction of Virtual Network Functions (VNF), network processing is no longer done solel...
High-Performance Computing (HPC) necessarily requires computing with a large number of nodes. As co...