FPGA Acceleration

Offload computationally intensive CPU tasks to an FPGA to accelerate the entire system. We realize acceleration for image processing, scientific and technical computing, and more.

Benefits of FPGA Acceleration

Custom Accelerator Development

For customers facing the limits of CPU processing.

Achieve dramatic performance improvements with custom accelerators tailored to your application. We develop custom accelerators for your needs, such as image processing, communication control, and scientific and technical computing, and achieve throughput on FPGAs that is difficult with CPUs.

Advantages of Using FPGAs

For customers developing systems that require real-time performance.

The parallel processing capabilities of FPGAs enable ultra-high-speed data processing that is impossible with CPUs. FPGAs can implement pipeline and parallel processing at the hardware level, achieving dramatic performance improvements in fields such as real-time image processing and scientific and technical computing that require large amounts of data processing.

Ensuring System Performance

High-Level Synthesis (HLS) Development Image

For customers who require deterministic processing times and shorter development periods.

Our experienced hardware engineers design an architecture with optimized computational latency to guarantee system performance. Hardware computation results in fixed processing times (no fluctuations), ensuring system performance (specifications). This frees you from the effects of jitter during development (such as unexpected processing delays due to overload and margin design).

Altera Solution Acceleration Partner

A partnership of trust and achievement.

We are an Altera Solution Acceleration Partner (ASAP). Leveraging our deep knowledge and extensive development experience with Altera FPGAs, we provide our customers with optimal solutions.

Supported Technologies & Development Achievements

Development Flow

We provide one-stop support from requirements analysis and feasibility studies to architecture design, RTL design, simulation verification, and on-device verification.

Phase	Main Tasks
Requirements Analysis	Hearing on performance requirements and constraints
Design	Architecture design, RTL design
Verification	Simulation, On-device verification

From C to HDL

To reduce resources, we converted floating-point operations to fixed-point operations as much as possible and implemented them in hardware, reducing processing time to less than 1/10. By enabling overlapped processing with a pipeline, we contributed to achieving the world’s fastest performance.

Development Achievement Examples

We have a track record of acceleration with FPGAs in the following areas:

Real-time correction of image display
Real-time FIR processing for waveform analysis
High-resolution position detection from sensors
Protocol processing offload for communication equipment

Frequently Asked Questions (FAQ)

What kind of problems can FPGA acceleration solve?

It is useful for accelerating applications that require a large amount of data processing, complex calculations, or strict real-time performance that cannot be handled by a CPU alone. It is particularly effective in image processing, scientific and technical computing, and communication protocol processing.

What input information is required for FPGA acceleration development?

We can start from C code. We will hear about the challenges of your application and propose whether FPGA acceleration is optimal and what approaches are possible.

What kind of processing is not suitable for FPGA acceleration?

It is not very effective for processing that involves many complex conditional branches or frequent division operations with arbitrary values.