User Applications

Seismic Applications

  • Lower Total Cost of Ownership
  • Higher Performance
  • Lower Power
  • Field Deployable Systems

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phone: 281.391.5482

Seismic Imaging Acceleration

Our FPGA PCI acceleration cards enable you to dramatically improve the performance of your seismic imaging applications while simultaneously reducing the cost, size, and power requirements of your computing clusters. Our cards enable you to harness the power of FPGAs by creating heterogeneous multi-core systems in an FPGA with each core customized to perform its task optimally. Clusters of cores are connected in a data flow arrangement to support high data bandwidth and the clusters are connected by shared memory for flexibility.

You will benefit from using our cards through a lower total cost of ownership. Our FPGA PCI acceleration cards are faster than servers, yet still have a power savings advantage over them. Being more powerful also means that you need less room for your cluster. You can now build powerful portable systems that allow you to preview your data in the field or even at sea. Save on size, weight, and power by swapping servers for our FPGA acceleration cards.

Put the power of our FPGA cards to work for you now. Our Impulse CTM to FPGA support allows you to port your seismic imaging applications to our cards quickly and productively. Partition your code into communicating sequential processes, which are similar to threads. Each of these processes can be turned into a custom core on the FPGA or run as software on an embedded processor. This partitioning allows the tools to extract the data flow and high level opportunities for parallelism. The Impulse CTM tools then infer the low level parallelism or you can guide it with compiler directives.

Our multi-gigabit serial I/Os allow efficient high-speed communication between our cards and disk. You can directly connect cards inside the same host with our SATA/SAS connectors or network them together by using the SFP connections. Low latency DDR2 memory connected directly to the FPGA delivers the Gigabytes you need to keep your application fed.