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Re-read Saturday, Tame you Work Flow Week 4: Chapter 4: Utility of Flawed Mental Models

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Tame your Work Flow

This week we tackle Chapter 4 of Tame your Work Flow,  The chapter is titled “Utility of Flawed Mental Models.” The goal of the chapter is to make sure we understand why reducing wait time makes sense and why that reduction has an impact on delivery.  

The premise of the chapter is set up with the statement:

According to Little’s Law, as the Flow Time at the denominator is decreased Throughput will increase. The contradiction here is that – from a Theory of Constraints (ToC) perspective – a system simply cannot deliver any more Throughput than its Constraint. Since we have not reduced Touch Time, the Constraint cannot have increased its Capacity in any way.

The authors point out that the two models at the heart of the book seem to conflict at a very basic level. Using the paradigm of the ToC would push us to find the constraint, exploit (use it to its fullest capacity) and then to elevate (increase the capacity). These types of changes would generate a focus on touch time (changing how we do the work).  Daniel and Steve use a set of mental experiments to show how starting with getting rid of wait time generates improved throughput without substantial investment and creates a stable environment of making touch time changes later. 

Attacking wait time does not directly impact throughput because it has no direct effect on the constraint. The question then is why does throughput apparently improve when we improve flow efficiency by removing wait time. On page 72, the authors state, “When Flow Efficiency is low, the system ordinarily performs at a rate that is less than that of the nominal Capacity of the Constraint.” This is really the crux of why reducing wait time has an impact.  Simply put, the constraint is underutilized — it has spare capacity. 

In the mental experiments in the book, Daniel and Steve show how reducing wait time squeezes out multitasking which reduces the context switching, and unneeded coordination and synchronization which uses up the spare captivity of the constraint yielding more output. This is exploiting the constraint, even though, at least at this point, we have spent no time trying to identify the constraint. As we noted in Chapter 3, reducing wait time does not require any substantial investments in changing how work is done, improved tools, or investment in additional people (queue the Dire Straits song “Money for Nothing). 

After we have exhausted wait time, the focus of the book shifts to touch time which means finding the constraint and jumping into the Theory of Constraints.  

Catch up on previous entries

Week 1: Logistics and Front Matter – https://bit.ly/2LWJ3EY

Week 2: Prologue (The Story of Herbie) – https://bit.ly/3h4zmTi

Week 3: Explicit Mental Models – https://bit.ly/2UJUZyN

Week 4: Flow Efficiency, Little’s Law and

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By: tcagley
Title: Re-read Saturday, Tame you Work Flow Week 4: Chapter 4: Utility of Flawed Mental Models
Sourced From: tcagley.wordpress.com/2020/07/11/re-read-saturday-tame-you-work-flow-week-4-chapter-4-utility-of-flawed-mental-models/
Published Date: Sat, 11 Jul 2020 23:55:45 +0000

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Intel Claims 10th Gen Core i7-10750H CPU Offers Up To 37% Faster Gaming Performance Than AMD’s Ryzen 7 4800H ‘Renoir’ APU, Up To 25% Higher Productivity Performance In “Real-World’ Benchmarks

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Intel has released a set of new benchmarks as part of its ‘Real World Performance’ testing methodology which compares its 10th Gen Comet Lake-H lineup against AMD’s Ryzen 4000 processors codenamed Renoir.

Intel’s Latest ‘Real World Performance’ Benchmarks Compared 10th Gen CPUs Against AMD’s Ryzen 4000 Renoir APUs, Claims Up To 37% Faster Gaming Performance

The Intel Real World Performance benchmarks have been marked with controversy ever since the blue team started using them. We have seen examples of Intel using different configurations when testing their own and competing chips, giving their own lineup an unfair advantage. We have also seen misleading slides where AMD CPUs were shown as one tier below the Intel CPUs based on its own performance metrics which consist of benchmarks purely optimized for their own processors or single-core workloads.

Intel 10th Gen CPU vs AMD Ryzen 4000 Renoir APU_Real World Performance Benchmarks_Gaming_1

In the latest set of benchmarks published by Benchlife, Intel is shown comparing its 10th Gen Core i7-10750H (Comet Lake-H) CPU to the AMD Ryzen 7 4800H (Renoir-H) APU. The Intel Core i7-10750 features 8 cores and 16 threads on a 14nm process node which clock in at 2.60 GHz base and 5.00 GHz boost clocks with TDP configured at 45W (PL1). The AMD Ryzen 7 4800H, on the other hand, is an 8 core and 16 thread APU on a 7nm process node which clocks in at 2.9 GHz base and 4.2 GHz boost.

One thing that should be mentioned here is that when comparing TDPs, Intel always sets its figures at the base clock. The 45W TDP for the Core i7-10750H is derived at 2.60 GHz while the PL2 rating is derived at the highest boost frequency. For 5.00 GHz, the Core

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By: Hassan Mujtaba
Title: Intel Claims 10th Gen Core i7-10750H CPU Offers Up To 37% Faster Gaming Performance Than AMD’s Ryzen 7 4800H ‘Renoir’ APU, Up To 25% Higher Productivity Performance In “Real-World’ Benchmarks
Sourced From: wccftech.com/intel-claims-gaming-real-world-benchmarks-leak-10th-gen-cpus-vs-amd-ryzen-4000-renoir-apus/
Published Date: Thu, 06 Aug 2020 14:15:30 +0000

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AMD Navi 21 ‘Big Navi’ GPU Rumored To Be Featured In 16 GB & 12 GB Radeon RX Gaming Graphics Cards

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AMD’s Big Navi Radeon RX graphics card rumors are heating up as we get closer to Q4 2020. After the most recent rumor from Chinese PTT forums, a second rumor has emerged which points to a similar story but also adds in an interesting detail about the various configurations that we could expect from AMD’s enthusiast-grade RDNA 2 ‘Navi 2X’ GPUs.

MD Radeon RX ‘Big Navi GPU’ Gaming Graphics Cards Rumored To Launch in 16 GB & 12 GB Flavors

The second rumor comes from a more credible leaker ‘Wjm47196’ from Chiphell who has got many AMD specific rumors correct in the past. According to his latest rumor, the AMD Navi 21 GPU, which is internally referred to as ‘Big Navi’ and has been spotted with the Sienna Cichlid & Navy Flounder codenames, will feature at least two different memory configurations.

Rogame already pointed out at least four SKUs for the Navi 21 (RDNA 2) GPU but we did not know anything else aside from the PCI IDs. There’s active speculation going on right now regarding exact specifications and configurations of each SKU in terms of core counts, texture mapping units, and ROPs since we now know that the GPU consists of 5120 stream processors packed within 80 CUs.

Let’s have some fun
😁

We know by now that Navi21 die has 80CU. We also know there are 4 variants of Navi21:

Navi21 XTX
Navi21 XT
Navi21 XL
Navi21 XE

W = water
A = Air

How many CUs do you think each variant will have?

I think XE will be cut down memory bus 320bit

— _rogame (@_rogame) August 5, 2020

As per Rogame, the Navi 21 GPU currently has the following SKUs:

Navi 21 XTX (0x731F:D0)Navi 21 XT (0x731F:D1)Navi 21 XL (0x731F:D3)Navi 21 XLE (0x731F:DF)

Each GPU SKU will be replacing the existing cards in the Radeon RX 5000 series family but in an entirely different performance segment. For comparison, Navi 10 also has four GPU SKUs that are available to consumers. The Navi 10 XTX chip is the highest binned part which powers the Radeon RX 5700 XT 10th Anniversary Edition followed by the Navi 10 XT GPU that powers the Radeon RX 5700 XT, Navi 10 XL which powers the Radeon RX 5700 and finally, the Navi 10 XLE which powers the Radeon RX 5600 XT.

According to the rumor, AMD is expected to introduce its Big Navi GPU based Radeon RX graphics cards lineup in at least two different VRAM configurations. The flagship variant is said to feature a 16 GB GDDR6 capacity while a cut-down variant is stated to feature 12 GB GDDR6 capacity. A 16 GB VRAM capacity would suggest a 512-bit bus interface for the flagship and a 384-bit bus interface for the cut-down 12 GB model.

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By: Hassan Mujtaba
Title: AMD Navi 21 ‘Big Navi’ GPU Rumored To Be Featured In 16 GB & 12 GB Radeon RX Gaming Graphics Cards
Sourced From: wccftech.com/amd-radeon-rx-big-navi-gpu-16-gb-12-gb-memory-graphics-cards-rumor/
Published Date: Thu, 06 Aug 2020 12:22:41 +0000

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Exclusive: The State Of AMD’s Supply Chain, August 2020

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We have been closely following the news cycle on alleged capacity constraints at AMD for quite a while now and with no clear answer, we thought it was time to do some digging of our own. This story is focused around the recent interest in AMD’s mobility processors (specifically Renoir) and is based on multiple sources spread throughout ODMs, AIBs, and industry contacts that deal directly with logistics (based out of Taiwan). All information presented has been carefully vetted, cross-checked and should be independently verifiable by anyone wishing to do so.

MD Renoir shipments to ODMs tripled from Q1 to Q2 with overall mobile shipments at a record level, supply chain is scaling at an unprecedented pace

AMD’s Renoir is an APU that is the culmination of an effort almost 4 years in the making. Combining the best of every world for laptops and notebooks, Renoir promises to provide one of the fastest computes, amazing graphics, and huge battery life at a cost lower than ever before. We have covered Renoir extensively in the past and our in-house polls have indicated it as one of the most eagerly anticipated chips from AMD. That said, fluctuating regional/retail availability of notebooks has sparked speculation about potential capacity constraints over at AMD and this is something we will investigate today.

The first thing we did was reach out to AMD for an official statement and while they had the following comment prepared for us, in typical AMD fashion, they decided not to reveal anything further:

We are seeing unprecedented demand for our AMD Ryzen 4000 mobile series processors based on leadership performance and energy efficiency. AMD Ryzen 4000 processor sales ramped faster than any mobile processor in AMD history. We are increasing production to address the incremental demand requests from our customers for AMD Ryzen 4000 series processors and are focused on growing our footprint in the notebook market.

– AMD Spokesperson to Wccftech, 8/5/2020

This comment from AMD does confirm that the company is scaling up production to meet demand, but it still doesn’t address the core of the issue. It also contains a very interesting hint which I will reference later. Lack of availability can usually be attributed to two different causes: a supply bottleneck (capacity constraint) or an excessive, unprecedented surge of demand that creates a temporary “supply chain lag” in the ecosystem. To answer this question, I reached out to some sources that are familiar with these issues and got some interesting facts back.

Before I state the gory details, let’s go over some publicly known context: AMD has already revealed that they delivered a record number of mobile shipments last quarter. They have also confirmed that Renoir is the fastest revenue ramping notebook processor in their history. With that in mind, based on my

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By: Usman Pirzada
Title: Exclusive: The State Of AMD’s Supply Chain, August 2020
Sourced From: wccftech.com/exclusive-the-state-of-amds-supply-chain-august-2020/
Published Date: Wed, 05 Aug 2020 14:00:13 +0000

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