Results 61 to 70 of about 5,314 (170)
Parallel Algorithms for Summing Floating-Point Numbers
The problem of exactly summing n floating-point numbers is a fundamental problem that has many applications in large-scale simulations and computational geometry.
Eldawy, Ahmed, Goodrich, Michael T.
core +1 more source
Online Sorting via Searching and Selection
In this paper, we present a framework based on a simple data structure and parameterized algorithms for the problems of finding items in an unsorted list of linearly ordered items based on their rank (selection) or value (search).
Gupta, Ankur +2 more
core +1 more source
A Novel Edge Cache-Based Private Set Intersection Protocol via Lightweight Oblivious PRF. [PDF]
Zhang J, Yang L, Tang Y, Jin M, Wang S.
europepmc +1 more source
Cache‐oblivious matrix algorithms in the age of multicores and many cores
SummaryThis article highlights the issue of upcoming wider single‐instruction, multiple‐data units as well as steadily increasing core counts on contemporary and future processor architectures. We present the recent port to and latest results of cache‐oblivious algorithms and implementations of our TifaMMy code on four architectures: SGI's UltraViolet ...
Heinecke, Alexander, Trinitis, Carsten
openaire +2 more sources
TEE-Graph: efficient privacy and ownership protection for cloud-based graph spectral analysis. [PDF]
Alam AKMM, Chen K.
europepmc +1 more source
Adaptive Context Caching for IoT-Based Applications: A Reinforcement Learning Approach. [PDF]
Weerasinghe S +5 more
europepmc +1 more source
Software Grand Exposure: SGX Cache Attacks Are Practical
Side-channel information leakage is a known limitation of SGX. Researchers have demonstrated that secret-dependent information can be extracted from enclave execution through page-fault access patterns.
Brasser, Ferdinand +5 more
core
I/O-optimal algorithms on grid graphs
Given a graph of which the n vertices form a regular two-dimensional grid, and in which each (possibly weighted and/or directed) edge connects a vertex to one of its eight neighbours, the following can be done in O(scan(n)) I/Os, provided M = Omega(B^2):
Haverkort, Herman
core
Popularity-Aware Closeness Based Caching in NDN Edge Networks. [PDF]
Amadeo M +3 more
europepmc +1 more source
Randomized Online Computation with High Probability Guarantees. [PDF]
Komm D +3 more
europepmc +1 more source

