SW acceleration and parallelization
Instigate provides vast spectrum of parallel programming
services. Having huge experience with FPGA/ASIC, NVIDIA
CUDA, ATI Stream, AMD NUMA architecture programming and
more, we offer thorough consulting and R&D services to
cover the whole work-flow, starting from problem
classification and corresponding platform assortment to
development, optimization and testing. Due to the
experienced developers team and in-house
methodologies/techniques, we offer our Customers reliable
and efficient solutions.
Methodology
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Application exploration, problem classification
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Target platform selection
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Target platform specific decomposition
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Implementation
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Target platform specific optimization
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Verification
Massive parallel reconfigurable architecture programming
GPGPU based acceleration
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Experience in NVIDIA CUDA and ATI Stream
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Up to 200x acceleration over CPU
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Wide range of applications
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Financial forecasting
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Video encoding/decoding
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Image processing
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E-mail Spam filter
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Linear/Quadratic solver
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Basic math functions
FPGA based HW acceleration
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Research of reference implementation
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Parallelization of reference implementation
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Profiling and identification of active part
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HW-SW decomposition and co-design
Proprietary multi-cpu device programming
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Complex real-life designs parallelization and acceleration
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FFTs (with 64 - 256 M transform size)
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Wi-Fi 802.11 g (PHY layer, 54 Mb/s)
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System Level modeling
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Model level parallelization
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Target platform virtual design
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Simulation and bottlenecks detection
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Platform based optimization
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Export to architecture specific proprietary language
Multi-core NUMA architecture CPU programming
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Efficient use of multi-core/cpu Non-Uniform-Memory-Architecture capabilities
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Reducing the number of processing units competing for access to a shared memory bus
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Algorithm specific scheduling on available computing units
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Custom memory distribution considering neighborhood between cores and memory units
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Used NUMA C library (libnuma)
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Example: accelerating TLM simulation engine using NUMA benefits
Related Documentation
Overview
Whitepaper