NVMesh vs. SYCL Comparison


NVMesh Excelero	SYCL The Khronos Group	+	+
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About Excelero delivers low-latency distributed block storage for web-scale applications. NVMesh enables shared NVMe across any network and supports any local or distributed file system. The solution features an intelligent management layer that abstracts underlying hardware with CPU offload, creates logical volumes with redundancy, and provides centralized, intelligent management and monitoring. Applications can enjoy the latency, throughput and IOPs of a local NVMe device with the convenience of centralized storage while avoiding proprietary hardware lock-in and reducing the overall storage TCO. NVMesh features a distributed block layer that allows unmodified applications to utilize pooled NVMe storage devices across a network at local speeds and latencies. Distributed NVMe storage resources are pooled with the ability to create arbitrary, dynamic block volumes that can be utilized by any host running the NVMesh block client.	About SYCL is an open, royalty-free, cross-platform programming standard defined by the Khronos Group that enables heterogeneous and offload computing in modern ISO C++ by providing a single-source abstraction layer where host and device code coexist in the same C++ source and can target a wide range of devices such as CPUs, GPUs, FPGAs, and other accelerators. It is a C++ API and abstraction designed to make heterogeneous computing more productive and portable by using standard language features such as templates, inheritance, and lambda expressions so developers can write and manage data and execution across diverse hardware without resorting to proprietary languages or extensions. SYCL builds on concepts of underlying acceleration backends like OpenCL and allows integration with other technologies while providing a consistent language, APIs, and ecosystem for locating devices, managing data, and executing kernels.
Platforms Supported Windows Not Supported Mac Not Supported Linux Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Enterprises in search of a low-latency distributed block storage solution for their web-scale applications	Audience Developers and engineers building high-performance applications for heterogeneous hardware who need a standard C++ programming model for parallel and accelerator computing
Support Phone Support Supported 24/7 Live Support Supported Online Supported	Support Phone Support Supported 24/7 Live Support Not Supported Online Supported
API Offers API Supported	API Offers API Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Not Supported Free Trial Not Supported	Pricing No information available. Free Version Not Supported Free Trial Not Supported
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software

Training Documentation Supported Webinars Supported Live Online Not Supported In Person Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information Excelero Founded: 2014 United States www.excelero.com/product/nvmesh/	Company Information The Khronos Group Founded: 2000 United States www.khronos.org
Alternatives MayaScale ZettaLane Systems	Alternatives OpenCL The Khronos Group
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StorPool Storage StorPool	Bright Cluster Manager NVIDIA
Huawei FusionStorage Huawei Technologies	Codename One
Oracle Big Data Service Oracle View All	IronFunctions Iron.io View All
Categories Block Storage Supported	Categories Application Development Supported

Integrations Apache Spark Supported AutoSys Workload Automation Supported C++ Not Supported DedicatedCore Supported Hadoop Supported Kubernetes Supported LawCruit Supported MongoDB Supported MySQL Supported NVIDIA DRIVE Supported Netdata Supported Oracle Cloud Infrastructure Supported QxStor Supported Redis Supported SAP HANA Supported SAS Analytics for IoT Supported Samsung Pay Supported Splunk Cloud Platform Supported StarWind HyperConverged Appliance Supported Show More Integrations View All 19 Integrations	Integrations Apache Spark Not Supported AutoSys Workload Automation Not Supported C++ Supported DedicatedCore Not Supported Hadoop Not Supported Kubernetes Not Supported LawCruit Not Supported MongoDB Not Supported MySQL Not Supported NVIDIA DRIVE Not Supported Netdata Not Supported Oracle Cloud Infrastructure Not Supported QxStor Not Supported Redis Not Supported SAP HANA Not Supported SAS Analytics for IoT Not Supported Samsung Pay Not Supported Splunk Cloud Platform Not Supported StarWind HyperConverged Appliance Not Supported Show More Integrations View All 1 Integration
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