Flexible OLED tech has come a long way and started sharking up the smartphone and tablet market, but Lenovo now apparently wants to use rolling OLED displays to increase screen real-estate on its laptops without actually making them much bigger. According to notorious leaker, Evan Blass, in a post on X, Lenovo will launch the sixth-generation of its ThinkBook Plus line-up with a rollable OLED display that can extend upwards to give it significantly more screen real-estate. Blass claims that the new ThinkBook Plus will launch at CES 2025, which is slated to take place between January 7 and January 10, 2025.

Looking at the renders that were shared alongside the leaks, and based on the size of the keyboard, the new ThinkBook will have a tall—it looks like 3:4 aspect ratio—screen that's somewhere in the neighborhood of 14 inches before the screen is fully unrolled. After unrolling, though, it appears to be able to fit two 16:9 windows on top of each other. Previous iterations of the ThinkBook Plus 17 had a small secondary display on the keyboard deck to the right of the keyboard, and the ThinkBook Plus 13 models consisted of the Gen 5 hybrid model with a detachable display and the Gen 4 variant, which had a 360° hinge and a color e-ink display on the back of the main OLED. While these designs all made compromises, whether in the suboptimal ergonomics of the mini screen of the 17 or the fact that you could only use one display at a time on the e-ink version. Previous ThinkBook versions were also compatible with an MPP stylus for handwriting, note-taking, and even image editing or sketching. It's unclear if the new ThinkBook Plus will be compatible with pen input, but there do not seem to be any images online showing the leaked laptop with a stylus in the same image.

GPU Folders make up a huge fraction of the number-crunching power of Folding@home, enabling us to help projects like the COVID Moonshot open science drug discovery project evaluate thousands of molecules per week in their quest to produce a new low-cost patent-free therapy for COVID-19. The COVID Moonshot (@covid_moonshot) is using the number-crunching power of Folding@home to evaluate thousands of molecules per week, synthesizing hundreds of these molecules in their quest to develop a patent-free drug for COVID-19 that could be taken as a simple 2x/day pill.

As of today, your folding GPUs just got a big powerup! Thanks to NVIDIA engineers, our Folding@home GPU cores—based on the open source OpenMM toolkit—are now CUDA-enabled, allowing you to run GPU projects significantly faster. Typical GPUs will see 15-30% speedups on most Folding@home projects, drastically increasing both science throughput and points per day (PPD) these GPUs will generate.Editor's Note:TechPowerUp features a strong community surrounding the Folding @ Home project. Remember to fold aggregated to the TPU team, if you so wish: we're currently 44# in the world, but have plans for complete world domination. You just have to input 50711 as your team ID. This is a way to donate efforts to cure various diseases affecting humanity that's at the reach of a few computer clicks - and the associated power cost with these computations.

In response to popular demand, we have created an update to the Folding@home software that allows you to prioritize COVID-19 projects. We encourage you to upgrade as the new software includes important bug fixes and security updates. Downloads are available here. Please also join me in thanking the Center for the Science and Engineering of Living Systems (CSELS) at Washington University in St. Louis for funding the development of this software update.

Our top priority for this release was to add the COVID-19 option as quickly as possible. We also took the opportunity to fix many of the issues raised by our volunteers, but did not address those that would have caused significant delays in the release of the new software. To better address important bugs in the future, we've organized a team of volunteer developers who are sorting through and prioritizing our issue tracker on GitHub. They are already making huge strides.

In our last report Folding@Home was at 1.5 Exaflops and had eclipsed the theoretical El Capitan Supercomputer not due to come online until 2023. Folding@Home has gained another 900petaFLOPS and is now not only 15x more powerful than the next most powerful supercomputer, IBM's Summit but more powerful than the next 500 supercomputers combined. Researchers have been scrambling to create more simulations to run as computational performance growth has exceeded all expectations.

The TechPowerup! team is currently ranked #29 with 618 active Folders. If you want to donate some spare cycles you can download the client over at the Folding@Home web page and download the installer for your client. When setting up the client make sure to enter your TeamID as 50711 to help us rise the ladder to world domination. This is an easy way to contribute to the largest computational medical cure research project ever completing vital research on COVID-19 and various other diseases.

It's not been that long since we praised the worldwide community for allowing Folding@Home to reach double the performance of the world's top supercomputer, IBM's Summit, which ekes out calculations at the petascale with 200 peak petaFLOPS. However, the world has again shown promise when it comes to people selflessly giving their power and performance for a higher cause. Folding@Home now likely smokes performance metrics of some Tier 1 civilizations out there (in the Kardashev scale, of course, should there be some; I'm cautiously jesting in all regards) with its 1.5 ExaFLOP performance.

As it stands, and should users keep on donating their processing power, it seems the community can even go as far as eclipsing the deployment of the world's most powerful supercomputer, El Capitan, which is only meant to be operational - get this - in 2023. This means we are close to offering equivalent performance for multiple disease research (including COVID-19), today, to that of a currently theoretical supercomputer. Of course, queues are long towards receiving work, so now it's become a problem for researchers to keep this computational power fed with data to crunch - we're actually hitting bottlenecks that supercomputers too have achieved before us.

This one here is another shot in the arm when it comes to faith in humanity. Folding@Home, the distributed computing project where users can donate their spare CPU and GPU cycles for a given cause, has hit an absolute bonkers milestone. According to Greg Bowman, Director of Folding@home, the network has reached a peak compute power amounting to some 470 petaFLOPS - more than double that of the world's current supercomputing record holder, the Summit supercomputer, which dishes out 200 peak petaFLOPS. Folding@Home's 470 Petaflops means users donating their spare cycles are delivering more computing power than that which is available in the world's top 7 supercomputers combined.

After some slight service outages where users weren't getting any work units due to the increased number of donors over the last few days, the computing service now seems to be running at full steam ahead. Remember that you can select the causes for which you are donating your computing power: whether cancer, Alzheimer's, Huntington, or Parkinson's disease, as well as some other non-selectable projects.

Intel started the trend of improving integrated graphics with their second generation LGA1155 socket Core i3, i5 & i7 line of processors. Depending on the model, these processors sport integrated HD2000 or HD3000 graphics right on the processor die, which nowadays give acceptable performance for low-end gaming and can play Full HD 1080p video perfectly. This trend is increasing with the upcoming Ivy Bridge processors, which will be able to support a massive 4096 x 4096 pixel display, as we reported here. AMD now also have equivalent products with their Llano-based A-series processors. So, where does this leave discrete graphics cards? Well, the low end market is certainly seeing reduced sales, as there really isn't enough of a performance difference nowadays to always warrant an upgrade from an IGP. As integrated graphics improve further, one can see how this will hurt sales of higher end graphics cards too. The problem is that the bulk of the profit comes not from the top-end powerhouse graphics cards, but from the low to mid-end cards which allow these companies to remain in business, so cannibalizing sales of these products to integrated graphics could make high-end graphics cards a much more niche product and crucially, much more expensive with to boot.

The EVGA GTX 580 Classified 3072MB, previously announced on TechPowerUp, is now available to buy according to this forum post by an EVGA product manager - in limited quantities, of course. According to Gaming Blend, this card can amazingly reach a doubled 1.6GHz core clock when overclocked using waterblocks - GTX 590 eat your heart out! This card also has custom designed VRMs to take all the extra power that the card will use, which means that they won't squeal when the card is overclocked hard and also when running intensive applications such as Folding@Home.
UPDATE: Turns out that 1.6GHz overclock was actually achieved using LN2, not water. To confirm it, click the EVGA promo link after the jump and see the extreme cooling section video, or just skip directly to the YouTube video here.

An AIDS protein folding puzzle has stumped scientists for a decade, but US gamers cracked it in a mere three weeks! This was achieved by combining the brute force logic and speed of the digital computer, with the lateral thinking of the distinctly fuzzy human brain. To achieve this, a distributed computing application called Foldit was used, which involved gamers solving individual puzzles in a competitive atmosphere. This amazing merger of minds and machine over the internet creates a sort of distributed "cybernetic organism", which combines the strengths of biological and silicon computers into something far more powerful than either alone.

I want you, yes YOU, to fold for TechPowerUp at the 2011 Chimp Challenge. The annual Folding@Home (F@H) competition sees top F@H teams from the world compete for F@H glory and the prestigious Lucky Jaded Monkey award. Our team, ChimPowerUp, led by its captain BUCK NASTY, will be participating. All are welcome to join our efforts. The competition revolves around earning the most points for folding over a set period of time, starting from Thursday, May 5th at 12pm, Pacific Daylight Time (UTC -7); to Sunday, May 15th at 12pm, Pacific Daylight Time (UTC -7). TechPowerUp is among the top-30 Folding@Home teams in the world. It relies on generous participation from its members and readers.DETAILS: Team ChimPowerUp at 2011 Chimp Challenge

TechPowerUp's Folding@Home and World Community Grid teams, both among the top 100 teams in their own merits, have decided to give back to the community by announcing the TechPowerUp Community Crunching/Folding Contest. Organized entirely by the community, the contest gives one lucky winner, a pre-assembled, turnkey PC with optimal hardware for distributed computing (DC-PC). For starters, the PC has an NVIDIA GeForce GTX 260 accelerator to run GPU-accelerated distributed computing applications of the likes of Folding@Home GPU, while its Pentium Dual-Core handles CPU-driven distributed computing applications, such as World Community Grid. With 500 GB of handy storage, Windows XP SP2 OS, Antec BP-550Plus 550W PSU to power it all, and In Win X-Fighter as its housing, the prize would make a perfect addition to any distributed computing enthusiast's armory.

Now open to everyone, the contest is a purely community funded and organized. It involves achieving 60,000 BOINC points and 100,000 F@H points within a contest time frame of 60 days, starting from 11:59PM EST on 10/14/09. The contest ends on 11:59PM EST on 12/12/09. Participants must 'crunch' (score) for WCG Team #22175 and 'fold' (scoring) for Folding@Home team #50711 only. The winner will be selected within five days of contest closure, and contacted by e-mail. TechPowerUp doesn't partake as the organizers of this contest, and hence do not hold any liabilities. We do however, like to commend our Folding@Home and World Community Grid teams for organizing this contest, that symbolizes goodwill and team-spirit, and wish everyone associated with it good luck. For more information, please visit this page.

Several days ago, the Techpowerup Folding at Home (F@H) team made it into the top 125 teams in the official F@H stats and is now ranked 123. This was no small feat and was accomplished due the countless hours of CPU/GPU time donated by the team's members. I would like to thank all of them for the time, energy, and money they have selflessly donated to this wonderful project. I encourage everyone who is able to join the team and help us reach the top 100! A list of all members who have donated CPU/GPU time to the team has been included inside the thread.

For those of you who have not heard of the Folding At Home project it is a distributed computing project run by Stanford University. It uses spare CPU/GPU cycles of idle processors from around the world to calculate the folding of proteins. Protein folding is a complex action that takes place after protein synthesis where the interaction of several forces in the molecule causes it to assemble or "fold" into its functional form. The shape of a protein has more to do with its function than its composition. The misfolding of proteins is the suspect cause behind many diseases including Alzheimer's, Mad Cow (BSE), CJD, ALS, Huntington's, Parkinson's disease, and many Cancers and cancer-related syndromes. The F@H project aims to calculate the folding/misfolding of key proteins in order to find cures and treatments for some of these debilitating diseases.

Here is a list of the top 10 contributors. A full list can be found inside the thread.For More Information You May Visit These Sites:
Folding at Home | Techpowerup Folding at Home Team (TeamId: 50711)

Sources close to AMD have informed that Advanced Micro Devices has picked up Mike Houston. Houston is known for his work at Stanford University, most notably with the Folding@Home GPGPU client. At this time, it is unclear to us what Houston's title or specific role will be at AMD/ATI.

The Folding@Home project has now managed to exceed one petaflop of processing power, thanks largely to the introduction of Sony's PlayStation 3 console last year. The project is currently operating at 1152 teraflops, with 889 teraflops being contributed by the PS3 and Windows based machines being closest competitor with just 164 teraflops. This means that over three-quarters of the processing power for Folding@Home is being provided by the PS3 due to the console's Cell Broadband Engine. Vijay Pande, Associate Professor of Chemistry at Stanford University said the following:

The recent inclusion of PS3 as part of the Folding@Home program has afforded our research group with computing power that goes far beyond what we initially hoped. Thanks to PS3, we are now essentially able to fast-forward several aspects of our research by a decade, which will greatly help us make more discoveries and advancements in our studies of several different diseases.

The Folding@Home project runs simulations in protein folding, which are helping scientists work towards cures for illnesses such as Alzheimer's, Parkinson's and certain forms of cancer. If you want to contribute to the project, you should take a look at the Folding@Home website and techPowerUp!'s Folding@Home team - all it requires is an internet connection and your idle processing power.

The introduction of the PS3 as a Folding@Home client has now helped the project to reach an impressive 693 teraflops of processing power, with 390 coming from PS3 consoles alone (despite only accounting for 11.4% of active processors). This figure is a significant improvement on the 367 TFLOPS being contributed by Sony's new console last month - the continued support from everyone who participates in the project helps Stanford University research cures for diseases such as Alzheimer's, Mad Cow (BSE), CJD, ALS, Huntington's, Parkinson's disease, along with many Cancers and cancer-related syndromes. Anyone wishing to become involved in the project should take a look at techPowerUp!'s own F@H team which currently stands in 741st place out of 62360 teams contributing. It is completely free (other than electricity and internet costs) and will put your idle processing power to good use.

According to Sony's chief technical officer Masa Chatani, the PS3's idle power could soon be put to commercial use in a similar way to the Folding@Home project. Due to its enormous processing power, whilst the console is not in use it can be used to tackle the complex calculations behind the Folding@Home project which simulates protein folding, therefore allowing scientists to better understand many diseases such as Alzheimer's and Parkinson's, as well as a number of cancers. The PS3 has proved very successful in this area, accounting for 367 TFLOPS in the recent Folding@Home statistics. But now, Sony may be about to expand this project to new, more profitable areas. "This kind of computing model could be used in a commercial application...for example, a start-up or a pharmaceutical company that lacks a super-computer could utilise this kind of infrastructure. We are discussing various options with companies and exploring commercial applications," Chatani said. Such a deal could well see businesses either offering free products or subsidising the price of the PS3 in return for the use of PS3 owners' idle processing power, although Sony has not yet revealed which companies having discussions with.

On February 16th of this year, NVIDIA went ahead and announced their new GPU computing client, CUDA. Over seven weeks later, we have yet to see so much as a beta of CUDA. And so, this means that NVIDIA, similar to the G80 Vista driver fiasco, has yet to deliver a product that they promised we'd see. The part about this that NVIDIA users probably hate the most is the lack of a GPU-based Folding@Home client. It seems that these days, everything except an NVIDIA system (even the PS3) can run a Folding@Home GPU client. This is an extreme opposite to ATI's GPU processing client, called "Stream", which has a large list of clients that can be used to accelerate programs using the GPU.

Along with the release of PlayStation 3 in Europe, gamers in Japan and North America updated their Sony monoliths to system software version 1.60. Along with the much needed background downloading, the update brings to the PS3 the ability to help find a cure for cancer with its Folding@home client.

According to the most recent Folding@home client statistics sorted by operating system, the PlayStation 3 leads all other platforms by a huge margin. The PS3 has 367 current TFLOPS, while the next closest is Windows with 151 TFLOPS and more than ten times more CPUs.

When it comes to pure performance though, the PS3's Cell Broadband Processor is still no match for ATI GPUs for protein folding. The GPUs on Folding@home sit at 41 current TFLOPS, which come from only 700 processors. If there were as many GPUs folding as there are PS3s on the network, it can be extrapolated that GPUs could reach 876 TFLOPS.

Below are the current stats:

Most of you have probably heard by now about Stanford University's amazing software, Folding@Home. Folding@Home allows users to run complex scientific experiments on their computers whenever the computer is idle. Sony has officially announced that anyone who has bought their powerful console can run Folding@Home on it. Support will be coming through a firmware update, and users can configure Folding@Home to run just like they would on a normal computer. Sony boasts that their PS3 can run Folding@Home roughly 10 times faster than anyone with a mainstream computer chip. An associate professor at Stanford says that he's "thrilled" to welcome all the PS3 users into the, for lack of a better term, "fold". If you decide to start using Folding@Home, with either a computer or your powerful PS3, please join the techPowerUp! Folding@Home team