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We had some fun getting hardware figured out, and I used a 3D printer to make some cases, but the whole project was interrupted by the delivery of the iPhone by Apple in late 2007. A year or so later, in 2011, Netflix also launched their (free) official iPhone app, and my sales plummeted! I eventually removed my app from the app store.
When the federal CIO Cloud-First Initiative came out in 2011, VA decided to start migrating applications to the cloud. While modern cloud systems simplify tasks — such as deploying apps and provisioning new hardware and servers — cloud environments can be surprisingly complex. VA’s journey into the cloud.
Older hardware If you subscribe to faster service through your ISP, but you're using an older modem and/or an older router, you may not be getting the service you're paying for. For a myriad of reasons, older hardware can't always accommodate faster speeds. Most people use the same hardware for between five to ten years.
This was a chance to talk about other things I've been working on, such as the present and future of hardware performance. The video is on [youtube]: The slides are on [slideshare] or as a [PDF]: I work on many areas of performance, but recently I've had a lot of demand to talk about BPF.
To be robust and scalable, this key/value store needs to be distributed for durability and availability, to protect against network partitions or hardware failures. Hailo was founded in 2011 and has been built on AWS since Day 1. containers stopping and starting).
In a couple of months, I’ll be giving a keynote at the AMD Fusion Developer’s Summit , which will be held on June 13-16, 2011, in Bellevue, WA, USA. Note: This talk is related to, but different from, the GPU talk I’ll be presenting in August at C++ and Beyond 2011 (aka C&B).
I said something similar to the above, but with two important differences: I said hardware “threads,” not only hardware “cores” – it was about the amount of hardware parallelism available on a mainstream system. Figure 4 : How much concurrency does your program need in order to exploit given hardware?
## References I've reproduced the references from my SREcon22 keynote below, so you can click on links: - [Gregg 08] Brendan Gregg, “ZFS L2ARC,” [link] Jul 2008 - [Gregg 10] Brendan Gregg, “Visualizations for Performance Analysis (and More),” [link] 2010 - [Greenberg 11] Marc Greenberg, “DDR4: Double the speed, double the latency?
Mainstream hardware – many kinds of parallelism: What’s the relationship among multi-core CPUs, hardware threads , SIMD vector units (Intel SSE and AVX , ARM Neon ), and GPGPU (general-purpose computation on GPUs, which I covered at C++ and Beyond 2011 )? At C++ and Beyond 2011, the attendees (audience!)
and the digital transformation have already been important focus areas for them since 2011. The body and hardware still reflect HARTING's standard of perfection. Quality and trust are the most important values for this traditional company, and Industry 4.0 For that reason, its development switched to agile methods.
Now welcome to the hardware jungle. 2011 was special: it’s the year that we completed the transition to parallel computing in all mainstream form factors, with the arrival of multicore tablets (e.g., The free lunch is over. In 2005, however, mainstream computing hit a wall. Galaxy S II, Droid X2, iPhone 4S). There’s no going back.
Third, hardware competition is increasingly fierce. On the sell side, those hardware and platform vendors late to the party are especially motivated sellers. Which brings up Sprint in 2011. As a means of getting customers hooked, that alone might be attractive to platform and hardware providers.
Hardware Past As Performance Prologue. If those specs sound eerily familiar, it's perhaps because they're identical to 2016's $200USD Moto G4 , all the way down to the 2011-vintage 28nm SoC process node used to fab the chip's anemic, 2012-vintage A53 cores. " package. The smooth, dulcet tones of 2019's Moto E6. Mind The Gap.
This was a chance to talk about other things I've been working on, such as the present and future of hardware performance. The video is on [youtube]: The slides are [here] or as a [PDF]: first prev next last / permalink/zoom I work on many areas of performance, but recently I've had a lot of demand to talk about BPF.
Scott Meyers, Andrei Alexandrescu and I are continuing to craft and announce the technical program for C++ and Beyond (C&B) 2011 , and two more sessions are now posted. All talks are brand-new material created specifically for C&B 2011. Here are short blurbs; follow the links for longer descriptions.
The success of both tablets and smartphones (and to a lesser extent the fringe battlegrounds of e-readers and other specialized devices), as well as the rapid maturation of cloud-based services, has created a tech hardware war, an OS war, a bidding war for tech firms, and spawned a feeding frenzy in application development.
References I've reproduced the references from my SREcon22 keynote below, so you can click on links: [Gregg 08] Brendan Gregg, “ZFS L2ARC,” [link] , Jul 2008 [Gregg 10] Brendan Gregg, “Visualizations for Performance Analysis (and More),” [link] , 2010 [Greenberg 11] Marc Greenberg, “DDR4: Double the speed, double the latency?
At Intel we've been creating a new analyzer tool to help reduce AI costs called AI Flame Graphs : a visualization that shows an AI accelerator or GPU hardware profile along with the full software stack, based on my CPU flame graphs. A flame graph is a visualization I invented in 2011 for showing sampled code stack traces.
Leading browsers had moved to 6-week update cadence by 2011 at the latest , routinely delivering fixes at a quick clip. Two releases per year meant that, for a decade, progress on WebKit bugs was a roulette that developers lost by default. Contrast that level of visible progress with Apple's manufactured scarcity around bug fix information.
In 2011, AWS opened a Point of Presence (PoP) in Stockholm to enable customers to serve content to their end users with low latency. After finding it cost prohibitive to use colocation centers in local markets where their users are based, iZettle decided to give up hardware. iZettle, a mobile payments startup, is also ‘all-in’ on AWS.
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