Orca hyperthreading

All rights reserved. Orcas, or killer whales, are the largest of the dolphins and one of the world's most powerful predators. They're immediately recognizable by their distinctive black-and-white coloring. Smart and social, orcas make a wide variety of communicative sounds, and each pod has distinctive noises that its members will recognize even at a distance.

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They use echolocation to communicate and hunt, making sounds that travel underwater until they encounter objects, then bounce back, revealing their location, size, and shape. Though they often frequent cold, coastal waters, orcas can be found from the polar regions to the Equator. They're at the top of the food chain and have very diverse diets, feasting on fish, penguins, and marine mammals such as seals, sea lions, and even whales, employing teeth that can be four inches long.

orca hyperthreading

They are known to grab seals right off the ice. They also eat fish, squid, and seabirds. Orcas hunt in deadly pods, family groups of up to 40 individuals. There appear to be both resident and transient pod populations of orcas. These different groups may prey on different animals and use different techniques to catch them. Resident pods tend to prefer fish, while transient pods target marine mammals.

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All pods use effective, cooperative hunting techniques that some liken to the behavior of wolf packs. Orcas are protective of their young, and other adolescent females often assist the mother in caring for them. Mothers give birth every three to ten years, after a month pregnancy. They give birth to one baby at a time, which may nurse for up to two years.

In most cases, the bond between juvenile and mother will eventually weaken, and the young orca will go its own way, but in some pods, the juvenile may stay with the pod it was born into its entire life. Orcas are highly intelligent, social mammals that have long been a part of marine park entertainment, performing shows for audiences.

However, it's become increasingly clear that orcas do not thrive in captivity. They have evolved to swim up to 40 miles a day, foraging for food and exercising. They dive to feet, several times a day, every day. Whether they're born in the wild or in captivity, all orcas born have the same innate drive to swim far and dive deep. Artificial enclosures in captivity cannon offer that kind of range to orcas, contributing to boredom and stress.The browser version you are using is not recommended for this site.

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Lin, 1 and Dinesh Manocha 1. Collision avoidance and navigation among virtual agents is an important component of modern video games. Recent developments in commodity hardware, in particular the utilization of multi-core and many-core architectures in personal computers and consoles are allowing large numbers of virtual agents to be incorporated into game levels in increasing numbers and with increasing fidelity.

As a result, there is a need for efficient techniques to automatically generate realistic behaviors for such groups of virtual agents. Simple local collision avoidance behaviors, such as flocking Reynolds,have been implemented using force-based models in many recent video games and commercial game engines.

These methods model groups of virtual agents as particle systems, with each particle applying a force on nearby particles. The laws of physics are used to compute the motion of the particles, along with a set of behaviors specified by game developers that influence properties of the system such as separation, alignment, and cohesion of particles.

Rather than using virtual forces to prevent nearby virtual agents from collisions, velocity-based methods use the current velocity of each virtual agent in the group and then extrapolate the position of each virtual agent for some short time interval under the assumption that the virtual agent will maintain almost a constant velocity over that time.

Based on predicting the future positions of other virtual agents, each virtual agent tends to choose an avoiding new velocity based on some optimization. The main difference with prior velocity-based methods lies in the fact that reciprocal collision avoidance considers the reciprocity between pairs of virtual agents.

Each virtual agent is assumed to be attempting to avoid a collision with the other, rather than seeing the other virtual agent as a moving obstacle.

It follows that if the virtual agent chooses a velocity within the region corresponding to the velocity obstacle, then the virtual agent and the moving obstacle will potentially collide. If the velocity chosen is outside the velocity obstacle, then a collision will not occur. A geometric interpretation of a velocity obstacle VO A B for a virtual agent A with respect to a virtual agent B corresponding to a cone is shown in Figure 1 center.

The velocity obstacle has been successfully used to navigate one virtual agent through a game level containing multiple moving obstacles by having the virtual agent select a velocity in each time step that is outside any of the velocity obstacles induced by different moving obstacles.

Unfortunately, the velocity obstacle approach does not work very well for local collision avoidance within a group of virtual agents where each virtual agent is actively changing its velocity to avoid the other virtual agents, since it assumes that other virtual agents may not change their velocities.

If all virtual agents were to use velocity obstacles to choose a new velocity, there would be oscillations in the motion of the virtual agents between successive time steps.

Instead of one virtual agent having to take all the responsibility for avoiding collisions, reciprocal velocity obstacles let a virtual agent take just half of the responsibility for avoiding a collision and assume that the other virtual agent reciprocates by taking care of the other half.

The geometric interpretation of a reciprocal velocity obstacle RVO A B for a virtual agent A with respect to a virtual agent B as a velocity obstacle with its apex translated is shown in Figure 1 right. It is also possible to share the responsibility of collision avoidance between two virtual agents in some other manner, for example, rather than The reciprocal velocity obstacle approach guarantees that if both virtual agents select a velocity outside the reciprocal velocity obstacle induced by the other, and both virtual agents choose to pass each other on the same side, then the motion of both robots will be free of collisions and oscillations.

If each virtual agent chooses the new velocity closest to its current velocity, then the virtual agents will automatically pass each other on the same side. Rather than choosing velocities closest to their current velocities, in order to make progress, the virtual agents are usually required to select the velocity closest to their preferred velocity, usually the velocity directed from each virtual agent towards its goal position see Section 3.

B below for further details. If a virtual agent has to move away from the goal to avoid collisions, then the preferred velocity will differ greatly from the current velocity.

The First Hyper-Threading Desktop CPU

The presence of a third virtual agent may also cause at least one of the virtual agents to choose a velocity even farther from its current velocity. This means virtual agents may not necessarily choose the same side to pass, which may result in undesirable oscillations known as reciprocal dances that may not resolve quickly and may leave virtual agents effectively deadlocked. Figure 1: Two virtual agents A and B left. If the velocity of a virtual agent is to the right of the centerline of its reciprocal velocity obstacle induced by some other virtual agent, then the virtual agent should choose a velocity to the right of the reciprocal velocity obstacle.

To encourage such behavior, the reciprocal velocity obstacle is enlarged by replacing the edge on the side that the virtual agents should not pass, for example, the left side in this case, by the edge of the corresponding velocity obstacle. If the velocity of the virtual agent is to the left of the centerline, the procedure is mirrored, exchanging left and right sides. The geometric interpretation of a hybrid reciprocal velocity obstacle HRVO A B for a virtual agent A with respect to a virtual agent Bincluding the location of the centerline and an indication of the enlarged area, is shown in Figure 2.

This approach augments the velocity obstacle with a half-plane that defines a set of velocities that are both collision-free and will additionally ensure that the motion of the virtual agents will be smooth in all but dense scenarios.By using our site, you acknowledge that you have read and understand our Cookie PolicyPrivacy Policyand our Terms of Service.

Stack Overflow for Teams is a private, secure spot for you and your coworkers to find and share information. I really a newbie to python and network automation; I am trying out multiprocessing with Python and netmiko, but haven't successful; the code keeps being executed sequentially per device. Use concurrent. It provides high level API's to execute tasks asynchronously. Please note that ip is supposed to be in quotes as 'ip'. Output is not that Fancy, but this will do for now.

Learn more. Python Multiprocessing - Netmiko Ask Question. Asked 9 months ago.

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Active 9 months ago. Viewed times. Thank You. Desmon Desmon 13 2 2 bronze badges. Have you read the documentation, looked at any guides or tutorials? Active Oldest Votes. Hope it helps. Fixed that; ip is supposed to be in quotes. Desmon Could you please accept the answer if the solution was helpful. After following Sandeep's code i edited a few things and finally achieved the primary goal; The final working code is here import time import concurrent. Sign up or log in Sign up using Google.

Sign up using Facebook. Sign up using Email and Password. Post as a guest Name. Email Required, but never shown. The Overflow Blog. Podcast Ben answers his first question on Stack Overflow. The Overflow Bugs vs. Featured on Meta. Responding to the Lavender Letter and commitments moving forward. Related Hot Network Questions. Question feed. Stack Overflow works best with JavaScript enabled.May May edited May The hits keep coming!

orca hyperthreading

This time with a thread title update. Intel said ZombieLoad is made up of four bugs, which the researchers reported to the chip maker just a month ago. Almost every computer with an Intel chips dating back to are affected by the vulnerabilities. TetraNitroCubane on May Registered User regular. Is that cumulative with the hit they took from the last fix?

Mugsley Registered User regular. There are more and more factors pushing me toward Ryzen for my next build. This stuff certainly isn't helping Intel, to that end. Apparently in some cases the fix is to literally disable Hyperthreading. Other mitigation strategies have a much lower impact. I'm uncertain if it was in the bevy of updates I received this morning, but I haven't noticed a significant performance hit on an K so far. Jazz Fuck cancer. Un-UK Registered User regular.

Safer that way. Steam XBL. It's KB in Win10, by the way, if you want to check your updates. Jeep-Eep Registered User regular. These constant discoveries just keep happening, and no matter the on paper superiority of Intel in gaming, I can't help but wonder if an overpriced CPU is suddenly about to lose it because they turned their designs into insecure drag racers!

Jeep-Eep on May I would rather be accused of intransigence than tolerating genocide for the sake of everyone getting along. LD50 Registered User regular. Researchers are targeting Intel CPUs because of their much larger market share. Yeah these security holes have existed since I think the Pentium 2 or 3, the entirety of modern computing was built around the performance gained by those changes in the hardware. But thank goodness they've fixed them at the hardware level.

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Turning it off basically resurrected my PC last night it was fucking glorious.Increases in the amount of memory per node combined with experiences from other sites made hyperthreading an attractive option for increasing job throughput. Comparison of physical cores, full HT cores, and optimum Physical cores compared to HT cores setup.

In practice Cores 2. Scientific Linux 6 benchmarks Of critical importance is the sharp drop in job efficiency as job slots approach the upper hyperthreading limit. Scientific Linux 6 performed slightly better than Scientific Linux 5.

The results indicated a nearly linear increase in the Dell 14 0. The revealed sweet spots were then configured for Dell 18 0. Viglen 18 0. Dell 22 0. Learn more about Scribd Membership Home. Read free for days Sign In. Much more than documents. Discover everything Scribd has to offer, including books and audiobooks from major publishers. Start Free Trial Cancel anytime.

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orca hyperthreading

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Maico Lubawski. Mario Hernandez. Joe Doe. Pankaj Chapke.The mycorrhizae build a microbial system in and on plant roots which enhance water and nutrient uptake. This concentrated and diverse mix of mycorrhizae and beneficial bacteria is designed to be watered in or run through hydroponic or irrigation systems.

Hydroponics Use 5 mL per 10 gal 35 L of water every reservoir change from start to finish. Soil, Coco and Topfeeding Use mL per 1 gal of water. Water into existing plants. Endomycorrhiza Glomus intraradices — 17 propagules per mL Glomus mosseae — 17 props per mL Glomus etunicatum — 17 props per mL Glomus aggregatum — 17 props per mL.

Definitely worth using I will be a regular customer of this product. I love using Orca and Myco Chum. Always have great results each grow cycle and will continue using throughout my journey growing plants.

Awesome customer service! I was told an expired bottle of orca at my local Hydro store. Make a long story short walk me through how I should handle the Hydro shop.

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Play I return the stuff to the Hydro store and then bought everything direct from the website. I will always use plant revolution products. Close search. Your cart. Previous slide Next slide. Volume 16 oz Sample ml 32 oz 1 gal 5 gal.

Add to cart. Description The mycorrhizae build a microbial system in and on plant roots which enhance water and nutrient uptake. Seeds Use drops directly on seed.Then write the review. Putting this link directly on your website saves the customer four steps. We want to encourage the customers who had a great experience to write reviews as well. Positive reviews generate lots of social proof. Again, this is simple and easy for your customers.

The higher your open rate, the greater chance your customers will click a link within the message. Now let me clarify this statement.

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You are not bribing customers to leave good reviews. Not a good review. In fact, if you look closely, the example even brings up the possibility of a negative review. With that in mind, offering an incentive will increase the customer experience. If your customers are happy, they will be more inclined to leave a positive review. Apply the same concept to your reviews.

Thank your customers directly on each platform where people are leaving feedback. Thanking reviewers can also improve your SEO. Notice the first words in this reply. Thanking your customers will make them feel good. Ultimately, it establishes a more personal connection between you and the customer. The manager went as far as saying that he commended the waitress for a job well done. Your staff should know how to do the things we outlined earlier.

Ask for reviews Say thank you Remind customers of the different review platforms This also holds your employees more accountable for their actions. What do these numbers tell you. Your employees need to understand this.


These reviews are just as important to your staff as they are to you. If negative reviews hurt your business, it could put your employees out of a job.

Engaged employees work harder. You can display these results on your website or social media platforms as well. How can you do this. The example above even tells the customer how long it will take them to complete the review. You can design surveys that are shorter as well. I like them because they are simple to use. Surveys are a great way to get customer feedback in general. Using surveys to generate social proof is an added bonus.


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