A survey of distributed graph algorithms on massive graphs
Distributed processing of large-scale graph data has many practical applications and has
been widely studied. In recent years, a lot of distributed graph processing frameworks and …
been widely studied. In recent years, a lot of distributed graph processing frameworks and …
Dynamic GPU power cap** with online performance tracing for energy efficient GPU computing using DEPO tool
GPU accelerators have become essential to the recent advance in computational power of
high-performance computing (HPC) systems. Current HPC systems' reaching an …
high-performance computing (HPC) systems. Current HPC systems' reaching an …
The principles of building a machine-learning-based service for converting sequential code into parallel code
I Viktorov, R Gibadullin - E3S Web of Conferences, 2023 - e3s-conferences.org
This article presents a novel approach for automating the parallelization of programming
code using machine learning. The approach centers on a two-phase algorithm …
code using machine learning. The approach centers on a two-phase algorithm …
An assessment of large language models for OpenMP-based code parallelization: a user perspective
Large language models have sparked a lot of attention in the research community in recent
days, especially with the introduction of practical tools such as ChatGPT and Github Copilot …
days, especially with the introduction of practical tools such as ChatGPT and Github Copilot …
Examon-x: a predictive maintenance framework for automatic monitoring in industrial iot systems
In recent years, the Industrial Internet of Things (IIoT) has led to significant steps forward in
many industries, thanks to the exploitation of several technologies, ranging from Big Data …
many industries, thanks to the exploitation of several technologies, ranging from Big Data …
RETRACTED: Mixed-mode database miner classifier: Parallel computation of graphical processing unit mining
Graphical processing unit (GPU) has gained more popularity among researchers in the field
of decision making and knowledge discovery systems. However, most of the earlier studies …
of decision making and knowledge discovery systems. However, most of the earlier studies …
A multithreaded CUDA and OpenMP based power‐aware programming framework for multi‐node GPU systems
P Czarnul - Concurrency and Computation: Practice and …, 2023 - Wiley Online Library
In the article, we have proposed a framework that allows programming a parallel application
for a multi‐node system, with one or more graphical processing units (GPUs) per node …
for a multi‐node system, with one or more graphical processing units (GPUs) per node …
Investigation of parallel data processing using hybrid high performance CPU+ GPU systems and CUDA streams
P Czarnul - Computing and informatics, 2020 - cai.sk
The paper investigates parallel data processing in a hybrid CPU+ GPU (s) system using
multiple CUDA streams for overlap** communication and computations. This is crucial for …
multiple CUDA streams for overlap** communication and computations. This is crucial for …
Efficient processing of image processing applications on CPU/GPU
N Naz, A Haseeb Malik, AB Khurshid… - Mathematical …, 2020 - Wiley Online Library
Heterogeneous systems have gained popularity due to the rapid growth in data and the
need for processing this big data to extract useful information. In recent years, many …
need for processing this big data to extract useful information. In recent years, many …
A GPU-based framework for finite element analysis of elastoplastic problems
Elastoplasticity is observed in a wide range of materials like metals that have real-world
applications. The design and optimization process of such materials depends strongly on …
applications. The design and optimization process of such materials depends strongly on …