Kaveri: Aiming for 1080p30 and Compute

The numerical differences between Kaveri and Richland are easy enough to rattle off – later in the review we will be discussing these in depth – but at a high level AMD is aiming for a middle ground between the desktop model (CPU + discrete graphics) and Apple’s Mac Pro dream (offloading compute onto different discrete graphics cards) by doing the dream on a single processor. At AMD’s Kaveri tech day the following graph was thrown in front of journalists worldwide:

With Intel now on board, processor graphics is a big deal. You can argue whether or not AMD should continue to use the acronym APU instead of SoC, but the fact remains that it's tough to buy a CPU without an integrated GPU.

In the absence of vertical integration, software optimization always trails hardware availability. If you look at 2011 as the crossover year when APUs/SoCs took over the market, it's not much of a surprise that we haven't seen aggressive moves by software developers to truly leverage GPU compute. Part of the problem has been programming model, which AMD hopes to address with Kaveri and HSA. Kaveri enables a full heterogeneous unified memory architecture (hUMA), such that the integrated graphics topology can access the full breadth of memory that the CPU can, putting a 32GB enabled compute device into the hands of developers.

One of the complexities of compute is also time: getting the CPU and GPU to communicate to each other without HSA and hUMA requires an amount of overhead that is not trivial. For compute, this comes in the form of allowing the CPU and GPU to work on the same data set at the same time, effectively opening up all the compute to the same task without asynchronous calls to memory copies and expensive memory checks for coherency.

The issue AMD has with their HSA ecosystem is the need for developers to jump on board. The analogy oft cited is that on Day 1, iOS had very few apps, yet today has millions. Perhaps a small equivocation fallacy comes in here – Apple is able to manage their OS and system in its entirety, whereas AMD has to compete in the same space as non-HSA enabled products and lacks the control. Nevertheless, AMD is attempting to integrate programming tools for HSA (and OpenCL 2.0) as seamlessly as possible to all modern platforms via a HSA Instruction Layer (HSAIL). The goal is for programming languages like Java, C++ and C++ AMP, as well as common acceleration API libraries and toolkits to provide these features at little or no coding cost. This is something our resident compute guru Rahul will be looking at in further detail later on in the review.

On the gaming side, 30 FPS has been a goal for AMD’s integrated graphics solutions for a couple of generations now.

Arguably we could say that any game should be able to do 30 FPS if we turn down the settings far enough, but AMD has put at least one restriction on that: resolution. 1080p is a lofty goal to hold at 30 FPS with some of the more challenging titles of today. In our testing in this review, it was clear that users had a choice – start with a high resolution and turn the settings down, or keep the settings on medium-high and adjust the resolution. Games like BF4 and Crysis 3 are going to tax any graphics card, especially when additional DirectX 11 features come in to play (ambient occlusion, depth of field, global illumination, and bilateral filtering are some that AMD mention).

Introduction and Overview The Steamroller Architecture: Counting Compute Cores and Improvements over Piledriver
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  • Calinou__ - Saturday, January 25, 2014 - link

    The consoles use lower level APIs, way more optimized.
  • dsmogor - Friday, January 24, 2014 - link

    From a distance the Amd architecture actually looks a lot like PS3 Cell SOC: number of CPU cores + VLIV modules that access the same bus and memory. If the GPU cores have some sort of manageable local memory (dunno) I clearly see why Sony have choosen that for their next gen.
  • Houdhaifa - Saturday, January 25, 2014 - link

    nice performance
  • Theyear - Sunday, January 26, 2014 - link

    hi
  • xtremesv - Tuesday, January 28, 2014 - link

    I'd rather give your grandpa a FX-4300 + GT640 GDDR5 roughly for the same price as A10-7850K and even better, for $20 more you ditch the FX-4300 for a FX-8120.
  • thomascheng - Tuesday, January 28, 2014 - link

    You can get the 7850K from Microcenter for 129.00 right now, its only for a limited time. I think I'll bite at the price point.
  • neal.a.nelson - Tuesday, January 28, 2014 - link

    No, that's the 6800K. The 7850K isn't even on the main AMD page.

    The AMD A10-7700K Unlocked Black Edition
    10 Computer Cores (4 CPU + 6 GPU)
    Features AMD Radeon™ R7 Graphics
    AMD TrueAudio Technology for immersive audio 9
    AMD A10-7700K
    $159.99
    REG. $179.99 045013
    Buy Now!
    BUNDLE & SAVE!
    AMD A10-6800K
    $129.99
    REG. $159.99 617795
    Buy Now!
    BUNDLE & SAVE!
  • rrgg - Sunday, February 2, 2014 - link

    Is there a stated release date for the A8-7600 (Kaveri)? I know it was pushed out but to when? Thanks.
  • Novaguy - Wednesday, February 12, 2014 - link

    Hmmm, any news about the a8-7600 availability? Or mobile parts?

    What I am really curious about is the performance of a kaveri a8 + r9-290m (aka 7970m/8970m rebadge) in a laptop (such as the msi model that was reviewed on anandtech). Will that get of the frame throttling that was going on in that msi laptop?
  • DoctorBurp - Thursday, February 20, 2014 - link

    It is interesting to see how computers involved into having two “brains”: The CPU which works sequentially and is generally better with small amount of data, and the GPU which works parallel and is generally better with large amount of data.

    Us humans also tend to have two ways of thinking, and to demonstrate it let us talk about decisions making. When dealing with small amount of information we tend to take the sequential route: We investigate, write notes , explorer in depth and operate in a step by step manner it order to make the right choice. However when dealing with large amount of information it is impossible to remember each and every detail and investigating turns to be a tedious work. This is when we turn to our gut feeling, our intuition, and at the end make a decision because it “feels right”. This feeling is a result of a processing which took place backstage in areas like our sub subconscious, which as far as we know it works in a parallel way.

    Since computers have been invented by humans, and for the most part reflect the way WE think, it is not surprising to find these similarities. I for instance find it fascinating and funny at the same time :) Maybe by trying to imitate the way we think we will end up understanding our self better…

    Just thought of sharing it with you all.

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