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….
Related Semiconductor IP
- AES GCM IP Core
- High Speed Ethernet Quad 10G to 100G PCS
- High Speed Ethernet Gen-2 Quad 100G PCS IP
- High Speed Ethernet 4/2/1-Lane 100G PCS
- High Speed Ethernet 2/4/8-Lane 200G/400G PCS
Related Blogs
- What are AI Chips? A Comprehensive Guide to AI Chip Design
- Leveraging AI to Optimize the Debug Productivity and Verification Throughput
- The Evolution of Generative AI up to the Model-Driven Era
- The Automotive Industry's Next Leap: Why Chiplets Are the Fuel for Innovation
Latest Blogs
- Why Choose Hard IP for Embedded FPGA in Aerospace and Defense Applications
- Migrating the CPU IP Development from MIPS to RISC-V Instruction Set Architecture
- Quintauris: Accelerating RISC-V Innovation for next-gen Hardware
- Say Goodbye to Limits and Hello to Freedom of Scalability in the MIPS P8700
- Why is Hard IP a Better Solution for Embedded FPGA (eFPGA) Technology?