In order to facilitate flexible network service virtualization and migration, network functions
(NFs) are increasingly executed by software modules as so-called “softwarized NFs” on …

Recently, there is an increasing interest in building data-center applications with RDMA
because of its low-latency, high-throughput, and low-CPU-utilization benefits. However …

With rising network rates, cloud vendors increasingly deploy FPGA-based SmartNICs (F-
NICs), leveraging their inline processing capabilities to offload hypervisor networking …

This paper explores new opportunities afforded by the growing deployment of compute and
I/O accelerators to improve the performance and efficiency of hardware-accelerated …

Despite the popularity of GPUs in high-performance and scientific computing, and despite
increasingly general-purpose hardware capabilities, the use of GPUs in network servers or …

Disaggregated heterogeneous data centers promise higher efficiency, lower total costs of
ownership, and more flexibility for data-center operators. However, current software stacks …

Graphics Processing Units (GPUs) have traditionally relied on the host CPU to initiate
access to the data storage. This approach is well-suited for GPU applications with known …

This paper proposes a fully autonomous execution model for multi-GPU applications that
completely excludes the involvement of the CPU beyond the initial kernel launch. In a typical …

We propose a new system design for connecting hardware and FPGA accelerators to the
network, allowing the accelerator to directly control commodity Network Interface Cards …

We investigate the dynamics of monitored memory resource utilizations in an operating
system under stress using quantitative methods of fractal analysis. In the experiments, we …