We propose to accelerate an important but time-consuming operation in online graph analytics, which is the counting of common neighbors for each pair of adjacent vertices (u,v), or edge (u,v), on three modern processors of different architectures. We ...

Weather and climate simulations are a major application driver in high-performance computing (HPC). With the end of Dennard scaling and Moore's law, the HPC industry increasingly employs specialized computation accelerators to increase computational ...

The ability to perform large-scale ultrasound simulations using Fourier pseudospectral methods has generated significant interest in medical ultrasonics, including for treatment planning in therapeutic ultrasound and image reconstruction in ...

We present the acceleration of an IMplicit–EXplicit (IMEX) nonhydrostatic atmospheric model on manycore processors such as graphic processing units (GPUs) and Intel’s Many Integrated Core (MIC) architecture. IMEX time integration methods sidestep the ...

New hardware features have propelled designs and analysis in main-memory hash joins. In previous studies, memory access has always been the primary bottleneck for hash join algorithms. However, there are relatively few studies devoted to bottlenecks ...

Computer systems are becoming increasingly complex: they provide the expected compute capability at the cost of deeper memory hierarchies (high-bandwidth and high-capacity memories), heterogeneous compute elements (latency-optimized and throughput-...

Intel Knights Landing (KNL) and IBM POWER architectures are becoming widely deployed on modern supercomputing systems due to its powerful components. MPI Remote Memory Access (RMA) model that provides one-sided communication semantics has been seen as ...

The number of cores in HPC systems and servers increased a lot for the last few years. In order to also increase the available memory bandwidth and capacity, most systems became NUMA (Non-Uniform Memory Access) meaning each processor has its own ...

Convolutional Neural Networks (CNNs) represent a class of Deep Neural Networks that is growing in importance due to their state-of-the-art performance in pattern recognition tasks in various domains, including image recognition, speech recognition,...

With High-Bandwidth Memory (HBM), an additional opportunity on hardware side for performance benefits is given. The large amount of available bandwidth compared to regular DRAM allows the execution of high numbers of threads in parallel masking ...

Clustering algorithms (i.e., Gaussian mixture models, k-means) tackle the problem of grouping a set of elements in such a way that elements from the same group (or cluster) have more similar properties to each other than to those elements in other ...

In this paper, genetic algorithm (GA) accelerated by Intel Xeon Phi coprocessor based on Intel Many Integrated Chip (MIC) Architecture is proposed and called GAPhi framework. The GAPhi framework solves the power-aware task scheduling (PATS) problems in ...

Stencil computations are a key class of applications, widely used in the scientific computing community, and a class that has particularly benefited from performance improvements on architectures with high memory bandwidth. Unfortunately, such ...

In this work we present AWP-ODC-OS, an end-to-end optimization of AWP-ODC targeting homogeneous, manycore supercomputers. AWP-ODC is an established community software package simulating seismic wave propagation using a staggered finite difference ...

Modeling the performance of scientific applications on emerging hardware plays a central role in achieving extreme-scale computing goals. Analytical models that capture the interaction between applications and hardware characteristics are attractive ...

In this paper, we introduce a new LLVM analysis, called Bandwidth-Critical Data Analysis (BCDA), to decide when it is beneficial to allocate data in High-Bandwidth Memory (HBM) and then transform allocation calls into specific HBM allocation calls, for ...

An important application for hydrocarbon exploration is simulated on a performance model of a novel Intel architecture. The accuracy of the simulation models is demonstrated by correlating against an existing processor first and then against high-...