Snowboard: Finding kernel concurrency bugs through systematic inter-thread communication analysis
Kernel concurrency bugs are challenging to find because they depend on very specific
thread interleavings and test inputs. While separately exploring kernel thread interleavings …
thread interleavings and test inputs. While separately exploring kernel thread interleavings …
Prediction of computer type using benchmark scores of hardware units
Users need an expert opinion to learn about their current computer or purchasing. In
addition to these, computer and computer component manufacturers have to carry out …
addition to these, computer and computer component manufacturers have to carry out …
Using machine learning techniques to analyze the performance of concurrent kernel execution on GPUs
Heterogeneous systems employing CPUs and GPUs are becoming increasingly popular in
large-scale data centers and cloud environments. In these platforms, sharing a GPU across …
large-scale data centers and cloud environments. In these platforms, sharing a GPU across …
Co-scheML: Interference-aware container co-scheduling scheme using machine learning application profiles for GPU clusters
S Kim, Y Kim - 2020 IEEE International Conference on Cluster …, 2020 - ieeexplore.ieee.org
Recently, efficient execution of applications on Graphic Processing Unit (GPU) has emerged
as a research topic to increase overall system throughput in cluster environment. As a …
as a research topic to increase overall system throughput in cluster environment. As a …
Parallel version of local search heuristic algorithm to solve capacitated vehicle routing problem
P Yelmewad, B Talawar - Cluster Computing, 2021 - Springer
Abstract The Vehicle Routing Problem (VRP) is an NP-hard scheduling problem for goods
transportation with vehicle capacity and transportation cost constraints. This paper presents …
transportation with vehicle capacity and transportation cost constraints. This paper presents …
Efficient Dynamic Resource Management for Spatial Multitasking GPUs
H Sedighi, D Gehberger… - … on Cloud Computing, 2024 - ieeexplore.ieee.org
The advent of microservice architecture enables complex cloud applications to be realized
via a set of individually isolated components, increasing their flexibility and performance. As …
via a set of individually isolated components, increasing their flexibility and performance. As …
FlexSched: Efficient scheduling techniques for concurrent kernel execution on GPUs
B López-Albelda, FM Castro… - The Journal of …, 2022 - Springer
Nowadays, GPU clusters are available in almost every data processing center. Their GPUs
are typically shared by different applications that might have different processing needs …
are typically shared by different applications that might have different processing needs …
Toward OS-Level and Device-Level Cooperative Scheduling for Multitasking GPUs
As one of the most popular accelerators, the graphics processing unit (GPU) has been
extensively adopted throughout the world. With the burst of new applications and the …
extensively adopted throughout the world. With the burst of new applications and the …
Parallel deterministic local search heuristic for minimum latency problem
P Yelmewad, B Talawar - Cluster Computing, 2021 - Springer
Minimum latency problem (MLP) is an NP-Hard combinatorial optimization problem.
Metaheuristics use perturbation and randomization to arrive at a satisfactory solution under …
Metaheuristics use perturbation and randomization to arrive at a satisfactory solution under …
Algorithms for preemptive co-scheduling of kernels on GPUs
L Eyraud-Dubois, C Bentes - 2020 IEEE 27th International …, 2020 - ieeexplore.ieee.org
Modern GPUs allow concurrent kernel execution and preemption to improve hardware
utilization and responsiveness. Currently, the decision on the simultaneous execution of …
utilization and responsiveness. Currently, the decision on the simultaneous execution of …