International audienceIn this work we study the feasibility of high-bandwidth, secure communications on generic machines equipped with the latest CPUs and General-Purpose Graphical Processing Units (GPGPU). We first analyze the suitability of current Nehalem CPU architectures. We show in particular that high performance CPUs are not sufficient by themselves to reach our performance objectives, and that encryption is the main bottleneck. Therefore we also consider the use of GPGPU, and more particularly we measure the bandwidth of the AES ciphering on CUDA. These tests lead us to the conclusion that finding an appropriate solution is extremely difficult
One of the challenges encryption faces is it is computationally intensive and therefore slow, it is ...
In (two-party) privacy-preserving-based applications, two users use encrypted inputs to compute a fu...
In this paper NTRUEncrypt is implemented for the first time on a GPU using the CUDA platform. As is ...
International audienceIn this work we study the feasibility of high-bandwidth, secure communications...
ISBN 978-1-4577-1416-0International audienceHigh-bandwidth secure channels require a lot of computin...
With the emergence of IoT and cloud computing technologies, massive data are generated from various ...
We present a multi-GPU design, implementation and performance evaluation of the Halevi-Polyakov-Shou...
This paper addresses issues associated with distributed computing systems andthe application of mixe...
Graphics processing units (GPUs) are specially designed for parallel applications and perform parall...
One frequently cited reason for the lack of wide deployment of cryptographic protocols is the (perce...
This paper addresses issues associated with distributed computing systems and the application of mix...
The main advantage of a distributed computing system over standalone computer is an ability to share...
In this paper we present GPU based implementations of popular encryption schemes Blowfish and the Ad...
Secure multi-party computation (MPC) is an essential tool for privacy-preserving machine learning (M...
This paper presents Field Programmable Gate Array (FPGA) powered packet-oriented solution for secure...
One of the challenges encryption faces is it is computationally intensive and therefore slow, it is ...
In (two-party) privacy-preserving-based applications, two users use encrypted inputs to compute a fu...
In this paper NTRUEncrypt is implemented for the first time on a GPU using the CUDA platform. As is ...
International audienceIn this work we study the feasibility of high-bandwidth, secure communications...
ISBN 978-1-4577-1416-0International audienceHigh-bandwidth secure channels require a lot of computin...
With the emergence of IoT and cloud computing technologies, massive data are generated from various ...
We present a multi-GPU design, implementation and performance evaluation of the Halevi-Polyakov-Shou...
This paper addresses issues associated with distributed computing systems andthe application of mixe...
Graphics processing units (GPUs) are specially designed for parallel applications and perform parall...
One frequently cited reason for the lack of wide deployment of cryptographic protocols is the (perce...
This paper addresses issues associated with distributed computing systems and the application of mix...
The main advantage of a distributed computing system over standalone computer is an ability to share...
In this paper we present GPU based implementations of popular encryption schemes Blowfish and the Ad...
Secure multi-party computation (MPC) is an essential tool for privacy-preserving machine learning (M...
This paper presents Field Programmable Gate Array (FPGA) powered packet-oriented solution for secure...
One of the challenges encryption faces is it is computationally intensive and therefore slow, it is ...
In (two-party) privacy-preserving-based applications, two users use encrypted inputs to compute a fu...
In this paper NTRUEncrypt is implemented for the first time on a GPU using the CUDA platform. As is ...