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
- xSPI Multiple Bus Memory Controller
- MIPI CSI-2 IP
- PCIe Gen 7 Verification IP
- WIFI 2.4G/5G Low Power Wakeup Radio IP
- Radar IP
Related Blogs
- Why UCIe is Key to Connectivity for Next-Gen AI Chiplets
- What are AI Chips? A Comprehensive Guide to AI Chip Design
- The Automotive Industry's Next Leap: Why Chiplets Are the Fuel for Innovation
- Synopsys and Alchip Collaborate to Streamline the Path to Multi-die Success with Soft Chiplets
Latest Blogs
- The Growing Importance of PVT Monitoring for Silicon Lifecycle Management
- Unlock early software development for custom RISC-V designs with faster simulation
- HBM4 Boosts Memory Performance for AI Training
- Using AI to Accelerate Chip Design: Dynamic, Adaptive Flows
- Locking When Emulating Xtensa LX Multi-Core on a Xilinx FPGA