Efficient sharing of FPGA resources in oneAPI: BittWare’s Crossbar White Paper
Efficient Sharing of FPGA Resources in oneAPI Building a Butterfly Crossbar Switch to Solve Resource Sharing in FPGAs The Shared Resource Problem FPGA cards usually
BittWare’s 250-U2 is a Computational Storage Processor conforming to the U.2 form factor. It features an AMD Kintex UltraScale+ FPGA directly coupled to local DDR4 memory. This energy-efficient, flexible compute node is intended to be deployed within conventional U.2 NVMe storage arrays (approximately 1:8 ratio) allowing FPGA-accelerated instances of:
The 250-U2 can be wholly programmed by customers developing in-house capabilities or delivered as a ready-to-run pre-configured solution featuring Eideticom’s NoLoad® IP. The 250-U2 is front-serviceable in a 1U chassis and can be mixed in with storage units in the same server, allowing users to mix-and-match storage and acceleration.
The HRG gives you much more detail about the card such as block diagrams, tables and descriptions.
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Efficient Sharing of FPGA Resources in oneAPI Building a Butterfly Crossbar Switch to Solve Resource Sharing in FPGAs The Shared Resource Problem FPGA cards usually
Go Back to IP & Solutions Dynamic Neural Accelerator ML Framework EdgeCortix Dynamic Neural Accelerator (DNA), is a flexible IP core for deep learning inference
Panel Discussion How Today’s FPGAs are Taming the Data Deluge Problem From Gen5 to AI, NOCs to RF at the Edge Watch the recording for
BittWare On-Demand Webinar Computational Storage Using Intel® Agilex™ FPGAs: Bringing Acceleration Closer to Data Watch Now on Demand! Accelerating NVMe storage means moving computation, such