Deep Learning Boost

Wetin you need know

How e dey work

Product dem wey dem describe with dis label fit expose different combination of vector dot-product and other acceleration facility dem. Software library dey choose kernel dem based on di actual extension dem, numeric format dem and OS-enabled state. Di label broad pass single opcode or portable binary baseline.

Where e dey useful

Inference runtime fit select quantized dot-product kernel for supported model operation. Di selected execution provider, data precision, operator coverage and packing dey determine weda di application dey use di processor feature in practice.

How to check support and enablement

Look up di exact model im manufacturer specification dem, den enumerate di instruction extension dem wey di runtime need. Check im diagnostic output for di chosen kernel/backend and verify say di relevant OS vector or tile state dey enabled.

Hardware availability na just di first step. Di driver, runtime, execution provider, supported operator dem and numeric format must match di application. Inspect actual backend selection and fallback instead make you assume say AI label mean say e dey accelerate every model.

Wetin di feature no dey guarantee

No assume AVX-512 VNNI, AVX-VNNI, BF16, AMX or NPU from dis marketing field alone. Peak operation dem per second under one precision no dey interchangeable with end-to-end inference speed or model accuracy.

Compatibility and performance inside real life

Compare full workload dem under clear condition dem, including compilation, transfer dem and unsupported operator dem. Peak operations per second dey depend on precision and counting assumption dem. Dem no fit replace real measured latency, throughput, energy or model accuracy.

Practical verification checklist

1. Record di exact processor or platform model plus di application, OS and runtime version dem wey dey involve. Make you keep di exact word dem wey di error or requirement use.
2. Check di manufacturer reference for dat exact model, den inspect di real capability and enabled state inside di environment where di program dey run.
3. Compare every single requirement of di binary or backend wey you choose. Name wey resemble am, alias, or broad technology label no reach.
4. Confirm say di application select di implementation wey dem intend. Use di diagnostics wey dem document and supported fallback if requirement dem no complete.
5. Make only one supported change at a time, den run di same workload again. Keep di original configuration and recovery way ready.

If dem list di feature but software no fit use am

Start from di exact component wey dey fail. Hardware database dey describe capability wey dem record; di operating system or hypervisor fit show different real environment. If illegal-instruction error happen, you still need to check di exact instruction wey cause di fault and di binary build, because corrupt file or anoda instruction wey no dey supported fit give di same kind problem.

Install di application, driver or runtime version wey get support for dat exact platform, and use di vendor documented baseline or fallback build if e need am. Software update no fit create instruction wey di processor no get. Firmware and security-policy change dem suppose follow di system manufacturer procedure and recovery plan, no be just any common optimization advice.

Related feature dem and useful difference dem

AVX-VNNI · AVX-512 · AMX, Advanced Matrix Extensions · Neural Processing Unit (NPU)

Sources and scope of dis explanation

Intel: deep learning with AVX-512 and DL Boost · Intel 64 and IA-32 Architectures Software Developer's Manual

Dis reference dem establish architectural behavior and software requirement dem. Dem no dey independently verify every feature value for any linked hardware model page. For model support, use dat page manufacturer evidence and check di active system configuration. Dis article no supply benchmark, certification or independent review date.

Related

Dis entities connect to dis article. Type dey show for every link.

Sources and verification

Editorial ownership: Feex. No independent review date dey recorded. How we dey do research.

• Intel: deep learning with AVX-512 and DL Boost · Dey explain VNNI-based acceleration. Pesin must still check di exact instruction set against di individual processor and runtime.
• Intel 64 and IA-32 Architectures Software Developer's Manual · Volume 1 and 2 describe di named instruction family dem and CPUID; Volume 3 describe state, paging, VMX and protection control dem. Architecture documentation no dey prove say particular model support am.