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CTAccel Ltd.

CTAccel Ltd., established in March 2016, originates from a dedicated group of professionals previously part of the FPGA team at Clustertech Ltd. With roots tracing back to 2013 in FPGA-based heterogeneous computing solutions for datacenters, CTAccel has grown to boast a 50-strong R&D team. The team is composed of individuals with advanced degrees in science and engineering from leading global universities, well-experienced in algorithm design, FPGA development, and system optimization. The focus at CTAccel is on revolutionizing image processing in Internet Data Centers through their innovative solutions. The company's flagship offering, the CTAccel Image Processor (CIP), is a high-performance image processing accelerator built on FPGA technology. By leveraging a deeply pipelined approach and multiple processing elements, CIP enhances server throughput and reduces latency significantly, thus lowering total cost outcomes for enterprises. Uniquely, CIP reallocates computational tasks such as image encoding, decoding, and pixel-level processing from CPUs to more efficient FPGAs, leading to substantial savings on power and space. CIP is particularly effective in environments with high demands, such as cloud-based photo storage services handling millions of daily requests. The accelerator's compatibility with open-source image processing software, like ImageMagick and OpenCV, ensures seamless integration without the need for additional software modifications. Furthermore, its reconfigurable nature means CIP can be customized to optimize performance precisely as per usage scenarios. Read more

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CTAccel Image Processor on Alveo U200

The CTAccel Image Processor for Alveo U200 represents a pinnacle of image processing acceleration, catering to the massive data produced by the explosion of smartphone photography. Through the offloading of intensive image processing tasks from CPUs to FPGAs, it achieves notable gains in performance and efficiency for data centers. By using an FPGA as a heterogenous coprocessor, the CIP speeds up typical workflows—such as image encoding and decoding—up to six times, while drastically cutting latency by fourfold. Its architecture allows for expanded compute density, meaning less rack space and reduced operational costs for managing data centers. This is crucial for handling the everyday influx of image data driven by social media and cloud storage. The solution maintains full software compatibility with popular tools like ImageMagick and OpenCV, meaning migration is seamless and straightforward. Moreover, the system's remote reconfiguration capabilities enable users to optimize processing for varying scenarios swiftly, ensuring peak performance without the need for server restarts.

CTAccel Ltd.
AI Processor, DLL, Graphics & Video Modules, Image Conversion, JPEG, JPEG 2000, Vision Processor
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CTAccel Image Processor on Intel Agilex FPGA

The CTAccel Image Processor (CIP) for Intel Agilex FPGAs is designed to tackle the increasing demands of image processing tasks within data centers. Mobile phone users contribute a vast quantity of image data that gets stored across various Internet Data Centers (IDCs), necessitating efficient image processing solutions. By offloading intensive computation like image transcoding and recognition from traditional CPUs to FPGA, CIP drastically improves processing throughput and operational efficiency. Built on Intel's 10 nm SuperFin technology, the Agilex FPGAs prioritize high performance while maintaining a low power profile. Key features include transceiver rates up to 58 Gbps and advanced DSP blocks for diverse fixed-point and floating-point operations. This capability allows data centers to benefit from a 5 to 20-fold increase in processing speed and a significant reduction in latency, enhancing data handling while lowering ownership costs. CIP ensures software compatibility with leading image software such as ImageMagick and OpenCV, allowing for easy migration. The advanced remote reconfiguration options mean that CIP can accommodate distinct performance requirements of various applications without server reboots.

CTAccel Ltd.
AI Processor, DLL, Graphics & Video Modules, Image Conversion, JPEG, JPEG 2000, Vision Processor
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CTAccel Image Processor on AWS

Designed for the Amazon Web Services (AWS) cloud environment, the CTAccel Image Processor (CIP) on AWS offers scalable image processing acceleration by transferring workloads traditionally handled by CPUs to FPGAs. This cloud-based FPGA solution offers significant improvements in throughput and latency for image processing tasks, making it an attractive option for businesses relying on AWS for their data handling. Outfitted to handle tasks such as JPEG thumbnail creation, sharpening, and more, the CIP on AWS empowers data centers to increase processing speeds up to tenfold while simultaneously lowering latency and Total Cost of Ownership (TCO) significantly. Deployable via Amazon Machine Images, it integrates seamlessly with existing cloud services. This image processing solution is particularly advantageous for businesses seeking flexibility and performance at scale in the cloud. By optimizing computational efficiency through FPGA acceleration, it ensures that users can achieve higher data processing rates with reduced latency across AWS infrastructure, offering a potent mix of performance, integration, and cost-effectiveness.

CTAccel Ltd.
AI Processor, DLL, Graphics & Video Modules, Image Conversion, JPEG, JPEG 2000, Vision Processor
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CTAccel Image Processor on Intel PAC

The CTAccel Image Processor (CIP) on Intel PAC offers a substantial leap in image processing capabilities by leveraging FPGA technology. This integration specifically aids data centers in managing large volumes of image data that originate from smartphone users, who frequently upload their photos to cloud storage. With the ability to shift workloads such as image coding and decoding away from the CPU and onto FPGA, CIP enhances data handling efficiency significantly. Usage of CTAccel's CIP on Intel PAC results in enhanced computational throughput, with potential increases of up to five times, alongside a two-to-three-fold reduction in processing latency. This improved performance also brings down Total Cost of Ownership by enhancing compute density; requiring less rack space and lowering the administration burden. This positions CIP as an optimal solution for datacenters looking to optimize their resources. With robust support for popular image processing software like OpenCV and ImageMagick, and utilizing FPGA's partial reconfiguration technology, CIP offers ease of maintenance and flexibility. This ensures that datacenters can adjust and upgrade their processing capabilities efficiently, maximizing the use of their infrastructure without extensive downtime.

CTAccel Ltd.
AI Processor, DLL, Graphics & Video Modules, Image Conversion, JPEG, JPEG 2000, Vision Processor
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