Why Low-Level Libraries are the Key to AI Success
Let’s start with…. the end.
The old saying, "you get out, what you put in”, is possibly the easiest way to summarise the sentiment of the next few paragraphs as we introduce Imagination’s new OpenCL™ compute libraries. If you have no time to read further, just take away the message that we’ve been able to squeeze a lot more compute and AI performance out of the GPU because we have put a lot of work into the careful design of these new software libraries, so that our customers don’t have to.
For some customers this is everything they need from an out-of-box experience to get the job done. For other customers, particularly those who are developing their own custom libraries/kernels, Imagination’s compute libraries, along with supporting collateral and tools, are the perfect starting point to success in their development and performance goals.
The end.
And for those who felt that ended too soon….
To read the full article, click here
Related Semiconductor IP
- Ultra Ethernet MAC & PCS 100G/200G/400G/800G
- Ethernet PCS 100G/200G/400G/800G/1.6T
- Ethernet MAC 100G/200G/400G/800G/1.6T
- Junction Over-Temperature Detector with Linear Centigrade-to-Voltage Output - X-FAB XT018
- Performance P570 Gen 3
Related Blogs
- Five Architectural Reasons Why FPGAs Are the Ultimate AI Inference Engines
- The On-Device LLM Revolution: Why 3B-30B Models Are Moving to the Edge
- Why UCIe is Key to Connectivity for Next-Gen AI Chiplets
- How Chip Startups Are Changing the Way Chips Are Designed
Latest Blogs
- Inside the SiFive Performance™ P570 Gen 3: High Performance Efficiency for Next-Generation Consumer and Commercial Applications
- What the steam engine can teach us about modern chip design
- Automotive silicon in the era of AI, functional safety, and cybersecurity
- JPEG XS Officially Joins GenICam, The Machine Vision Standard Managed By EMVA
- Beyond PCIe Compliance: Why Stress Testing Is Crucial for Edge AI Deployments