HPC on the Intel Xeon Phi: Homomorphic Word Searching
نویسندگان
چکیده
In this paper, the suitability of implementing parallel homomorphic word searching on Intel Xeon Phi coprocessors is evaluated for the first time. Homomorphic encryption allows to produce a cryptogram that encrypts the result of applying some values to any function, even when the input values are encrypted and without access to the privatekey. For example, it is possible to search if any word of a set of encrypted words matches a plaintext reference word and generate a new cryptogram that encrypts the amount of matches. In this paper it is shown that this operation is about 834 times faster by using a system with 4 Intel Xeon Phi coprocessors 5110P attached to an Intel Xeon CPU E5-2630 v2, when compared with an implementation on a single core of the Xeon CPU.
منابع مشابه
Energy-Efficiency Evaluation of Intel KNL for HPC Workloads
Energy consumption is increasingly becoming a limiting factor to the design of faster large-scale parallel systems, and development of energy-efficient and energy-aware applications is today a relevant issue for HPC code-developer communities. In this work we focus on energy performance of the Knights Landing (KNL) Xeon Phi, the latest many-core architecture processor introduced by Intel for th...
متن کاملConjugate gradient solvers on Intel Xeon Phi and NVIDIA GPUs
Lattice Quantum Chromodynamics simulations typically spend most of the runtime in inversions of the Fermion Matrix. This part is therefore frequently optimized for various HPC architectures. Here we compare the performance of the Intel R Xeon Phi TM to current Kepler-based NVIDIA R Tesla TM GPUs running a conjugate gradient solver. By exposing more parallelism to the accelerator through inverti...
متن کاملUnderstanding the Costs of Many-Task Computing Workloads on Intel Xeon Phi Coprocessors
Many-Task Computing (MTC) aims to bridge the gap between HPC and HTC. MTC emphasizes running many computational tasks over a short period of time, where tasks can be either dependent or independent of one another. MTC has been well supported on Clouds, Grids, and Supercomputers on traditional computing architectures, but the abundance of hybrid large-scale systems using accelerators has motivat...
متن کاملA Low-Cost Energy-Efficient Raspberry Pi Cluster for Data Mining Algorithms
Data mining algorithms are essential tools to extract information from the increasing number of large datasets, also called Big Data. However, these algorithms demand huge amounts of computing power to achieve reliable results. Although conventional High Performance Computing (HPC) platforms can deliver such performance, they are commonly expensive and power-hungry. This paper presents a study ...
متن کاملTera-Scale 1D FFT with Low-Communication Algorithm and IntelR
This paper demonstrates the first tera-scale performance of Intel © Xeon Phi TM coprocessors on 1D fft computations. Applying a disciplined performance programming methodology of sound algorithm choice, valid performance model, and well-executed optimizations, we break the tera-flop mark on a mere 64 nodes of Xeon Phi and reach 6.7 tflops with 512 nodes, which is 1.5× than achievable on a same ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2016