CTAccel Image Processing (CIP) accelerator for Intel PAC
- Throughput promotion: 4~5 times more than CPU
- Latency reduction: 2~3 times less than CPU
- TCO reduction: improve the computing density of DC, reduce racks
- Software compatible: ImageMagick、OpenCV、GraphicsMagick、Lepton
The popularity of smartphone and social network makes taking and sharing of pictures extremely simple and convenient. As of 2017, there are 2.4 billion active smartphone users worldwide. Images that were taken by smartphone users alone amount to petabytes of data generated every day. Cloud storage has make it easier than ever for mobile phone users to share their pictures in social media and access their picture from multiple devices. As a result, most mobile phone users opt to store their pictures in the cloud. These pictures inevitably end up as image data stored in Internet Data Centers (IDC). As a result, image processing computation such as image transcoding, thumbnail generation, image recognition and the like on these massive image data have become part of IDC computation workload.
The instruction based Von Neumann architecture of CPU and GPU have inherent limitations in running image coding and decoding algorithms, instructions are inherently serial, so there are limitations on utilizing massive data parallelism to improve computational performance.
CTAccel Image Processing (CIP) accelerator is an FPGA-based image processing acceleration solution that greatly improves the performance of image processing and image analytics by transferring computational workload from CPU to FPGA. CIP's powerful processing capabilities beneﬁt data centers by increasing image processing throughput by 4~5x, reduce computational latency by 2~3x, and reduce TCO by 3x. CIP redeﬁnes data center image processing with state-of-the-art technologies which utilize massively data parallel algorithm to increase computational performance.
JPEG to WebP(M6) / JPEG to Lepton
1. Thumbnail Generation 2.Resize 3.Watermark 4. Brightness/Contrast 5.Sharpen 6.Maincolor 7. Image storage
Features and Benefits
CIP uses FPGA as a heterogeneous coprocessor on servers to oﬄoad the typical image encoding, processing and decoding workﬂows from CPU. An x86 server with dual E5-2630 CPU equipped with a single CIP accelerator can increase image processing speed by 4~5x while reducing computational latency by 2~3x.
The CIP accelerator has a low power consumption.A single accelerator can increase server performance by 4~5x, thus drastically increase compute density, which translates to less rack space and lower administration cost.
CIP is fully compatible with the most popular open source image processing software: OpenCV , ImageMagick , GraphicsMagick and Lepton. The perfect integration of the mainstream image processing software allows users to migrate seamlessly from software-based implementation to CIP.
Ease of Maintenance
CIP employs advanced FPGA Partial Reconﬁguration (PR) technology. The computation cores can be upgraded and reconﬁgured remotely to maximize the performance for custom usage scenario. PR technology allows fast and easy context switch of accelerator functionality without rebooting the server.
- CPU：2x Intel(R) Xeon(R) CPU E5-2630 v2 @ 2.60GHz
- OS: CentOS Linux release 7.4.1708
- FPGA: Intel PAC
- Platform: DCP1.1Production