Signal Processing
Heterogeneous Clusters for Signal
Processing
Crossfield is developing clustering
technologies for communications intense algorithms, such as
those commonly found in real-time signal processing and
hardware-in-the-loop simulation applications. The
centerpiece of this technology is a full-mesh bridge chip
that provides unsurpassed data communications bandwidth
between signal processors. Crossfield's "multipath"
communications technology provides an order-of-magnitude
increase in network bandwidth through a switch fabric.
Emerging Computing Technologies
In many real-time
signal processing applications, the data rate exceeds the
capability of traditional processors. Reconfigurable
Computing (RCC) in Field Programmable Gate Arrays (FPGAs),
General Purpose Computing on Graphics Processing Units
(
GP GPU), and digital signal
processing on the
Cell Broadband
Engine are examples of advanced computing methods
used by Crossfield to accelerate
computationally-intense algorithms.
Message Passing Interface Optimized for
DSP
Crossfield supports the
Open MPI project's efforts to
provide a common message passing interface across
heterogeneous computing platforms. Crossfield is
deploying a DSP MPI across a 10 Gbps Ethernet network
fabric using
OpenFabrics and
Remote Direct Memory Access
(RDMA) networking technology.
Large-Scale Storage Systems
Large-scale
instrumentation systems need large-scale storage systems
for data capture, processing and archival. Crossfield
Technology is teamed with
Copan Systems to provide
Massive Arrays of Idle Disks (MAID)
technology to the instrumentation community.
High-Speed, Non-Volatile Network Data
Buffers
Advanced sensors produce copious amounts of
data in real-time. Crossfield is developing high-speed,
non-volatile memory systems to capture network sensor data
arriving at Gbps to Tbps.