#CPUcores

[govindhtech]

Get Intel Simics Simulator Training to The Master Threading

Virtual platforms are compute-intensive, thus using several host cores to speed them is obvious. Multiple host cores may be used to perform a simulation at various granularity levels in parallel using the Intel Simics Simulator. Intel will examine a single device model utilizing threading to accelerate the simulator in this blog article. This is a high-level explanation of “workshop-02” threading in the Intel Simics Simulator Training Package. The Intel Simics Simulator Public Release includes the training bundle.Image Credit To Intel

Target System

Parallelizing a computing accelerator subsystem with numerous parallel compute units is their goal. In addition to compute units, a control unit starts and waits for tasks to finish. Software on a processor sets up accelerator memory descriptors and interacts with compute unit and control unit control registers.

Job Structure

The computing accelerator runs tasks from start to finish before accepting new ones. Each task has a serial setup phase, when software creates work descriptors and the control unit starts computing, a parallel compute phase, and a collection phase. According to virtual platform software and hardware, all computing units execute concurrently throughout the computation phase. Work virtual execution duration relies on data amount and should not alter independent of virtual platform operation.

This is easiest to simulate in serial mode, where a host thread operates each compute unit. This is not efficient for this example, but it is durable and, most importantly, straightforward to model. How can this be parallelized?

Standard Simulator Parallelism

Parallelizing a simulation using Intel Simics Simulator works practically easily on any virtual platform. Parallelizing simulated machines in a virtual network is the simplest model technique. Similar to establishing many virtual simulator instances inside a single simulator session. Each machine (or target) operates serially in parallel with other internally serial simulations. Special network-related link objects are used for all machine communication.Image Credit To Intel

Its simplicity in modeling makes this parallelism method appealing. It involves eliminating process-global data (global variables). No two execution threads may access simulation object data concurrently. This was the first sort of parallelism presented in the Intel Simics Simulator over 15 years ago, a simple step from the serial simulator.

This doesn’t help since all computing units are on one target computer. Let CPU cores execute in parallel while serializing devices for enhanced parallelism. This works well for parallel software tasks, as explained in a recent blog on threading on the basic RISC-V virtual architecture.

This paradigm requires parallelism and genuine concurrency, making processor core and memory simulation implementation more complicated. Left unchanged, device models operate like serial simulations.

Unless Intel make a device a “processor” by implementing the simulator processor API, this doesn’t assist with device models. That’s probably excessive and complex.

Actual Details

To parallelize device models, you need further information about the Intel Simics Simulator threading model. The simulator employs “thread domains” to describe parallelism in a single target system. Simulation objects that assume serial execution are placed in a pseudo-serial universe on each target. Serial world code is executed by one thread at a time.

In thread domains outside pseudo-serial, only “thread-aware” objects are permitted. Thread-aware processor cores, interrupt controller models, per-core timers, and memory-management units are common. Simple device types like the computing unit prefer not to since it’s more work.

Thread parallelization

Most software-compute unit interaction does not need parallelization. Software writes and reads configuration and status registers, inexpensive operations without parallelization. A modest local device model remedy is to thread out just the main computing process.

Serial and threaded cases execute compute kernel code on a work buffer similarly. The compute kernel runs in the device model’s buffer on the main simulation thread in serial mode. Threaded offload throws computational work onto a thread “on the side” with a work buffer outside the device model. The overhead of reading and writing words from memory is avoided by constantly using a work buffer.

For most accelerator models, it’s trivial to read all the data from memory to a buffer, calculate, and publish the results. Virtual platforms may read or write arbitrarily huge amounts of memory in a single atomic simulation step. Perhaps not precisely what a hardware direct memory access (DMA) operation looks like, but it seldom matters.

Remember that compute threads are host operating system threads generated for concurrent work. Simulation execution threads handled by the simulator core scheduler execute thread domain simulation work. The host threads are not devoted to thread domains.

Virtual Platform

Threading and Virtual Platform Semantics

Simulation semantics must be considered while implementing a threaded compute kernel. The controller device must tell software whether the compute activity is idle and ready for a new task, processing, or done. Issue a completion interrupt too.

Serial execution makes this simple. Software sees the status update depending on the accelerator’s task size: a delay is calculated and a timed event is delivered. The real work might be done at the start or finish. It is synchronous on the main execution thread with code handling completion.Image Credit To Intel

In a threaded paradigm, computation is asynchronous to the main simulator thread. Compute work completion time is unknown in advance. One solution is to update the model’s visible state when the computation finishes. This makes the simulation non-deterministic and unlike serial.

Better still, start the compute activity immediately and submit an event using the same virtual time as in the serial instance. If the compute thread has not completed by the time the event is triggered, the completion event handler must wait while blocking simulation progress.

A “done flag” is needed to indicate calculation status. Thread-safe access to this flag is the only aspect of the setup that involves thread programming. Everything else is basic serial code.

Practical Mandelbrot Computation

The Intel Simics Simulator Public Release Training package includes the “workshop-02” example that uses this threading paradigm. It includes entire source code and instructions for running and evaluating compute accelerator improvements, including threading.

Read more on Govindhtech.com

[invincible-atlas]

nightcore, daycore, that's boring

i prefer reactorcore

[babyawacs]

#keypoint ‎ ‎they need the coordinated goodwill of all actors intheir realm isntit? and biometrics+radiospectroscopy everywhere‎ @all @world @bbc_whys @gchq @nsagov @wired @wireduk @cnet @techpowerup 

#keypoint ‎they need the coordinated goodwill of all actors intheir realm isntit? and biometrics+radiospectroscopy everywhere @all @world @bbc_whys @gchq @nsagov @wired @wireduk @cnet @techpowerup how hazy would sigint gardens be without LNL6 LNL7 nonipple lube precision iwonder because all is secretive standards but theonlyinnovation is chiplets and that all got dozens of more cpucores ‎and…

[omgdelightfullybluestudent]

SSD or HDD ? How many CPU cores ?

[babeltechreviews]

CPUCores Review with 20 Steam Games - Does it Maximize Your FPS?

CPUCores Review with 20 Steam Games – Does it Maximize Your FPS?

CPUCores Software Review with 20 Steam Games Does it Really Work to Maximize Your FPS?

BTR was recently contacted by Tim Sullivan, the creator of CPUCores and given a Steam code to review his software.  It promises quite a lot, but it’s purpose primarily is to “increase your FPS”.  CPU Cores costs $14.99 on Steamand we want to see if it is worth it for a gamer with a fast PC like BTR’s flagship…

[skyrim-mods-to-increase-f8n]

skyrim mods to increase fps

⭐ ⏩⏩⏩️ DOWNLOAD MOD - LINK 🔥🔥🔥🔥🔥 Removes some (not all) rocks, crates, bushes, bags, barrels, sacks, shrubs, potatoes & tomatoes, etc. in order to increase performance. Hello, I whant to have more fps. I have a caps on 60 fps an enb and A LOT of texture pack. My fps is around 40 and i really whant a steady. In this guide you'll learn how to properly set your game options, configure your .ini files and fix some issues, in order to make your game. A diferencia del mod anterior, Skyrim Project Optimization fue creado para aumentar fps al usar mods que alteran la iluminacion como. Aug 5, - A fairly large and detailed player stronghold. Check screenshots if you need a reason to download this. Landscape FIXES FOR GRASS MODS INSIGNIFICANT OBJECT REMOVED BEAUTY OF FPS INCREASE GAME STABILITY OPEN CITIES SKYRIM Lo hice basado en esto. Maximice su FPS :: Utilice CPUCores para aislar y restringir los procesos OS + que no sean juegos y dedique recursos de la CPU para utilizarlos.

[allianglobe]

Samsung Galaxy A01

         Sim Size : Nano SIM       Sim Type : GSM+GSM Dual Sim : Dual Sim Device Type : Smartphone Connectivity 2G : Yes 3G : Yes USB : Yes EDGE : Yes GPRS : Yes Wifi : Yes VoLTE : Yes Usb Type : microUSB Bluetooth : Yes USB Feature : Yes Technical OS : Android GPU : Mali-G71 MP2 Browser : Yes cpuCores : Octa Core CPU : 1.95 GHz Core Details : Quad 1.95 GHz + Quad 1.45 GHz Extra GPS…

[govindhtech]

Boost Your Large In-Memory Databases & Business Workloads

In-memory databases help energy, financial services, healthcare, manufacturing, retail, telecom, media, entertainment, gaming, government, and public sector enterprises. They also support business-critical operations for these companies.

Performance is crucial because they require real-time or nearly real-time transaction and analytics processing for a wide range of use cases. However, cost effectiveness is equally crucial in the modern world of accomplishing more with less.

AWS in memory database

For high-memory applications, Amazon EC2 U7i custom virtual instances (8-socket) provide the scalability, high performance, and cost-effectiveness that enterprises want. They also support in-memory databases like SAP HANA, Oracle, and SQL Server.

With 896 vCPUs and up to 32 TiB of DDR5 memory, these 4th Gen Intel Xeon processor and Intel Advanced Matrix Extensions (Intel AMX)-powered 8-socket U7i instances provide the compute and memory density required to extend transaction processing throughput in rapidly expanding data environments.

U7i instances are a great option for the present and the future since the demand for high-memory cloud solutions, including  AI models, will only increase as large-scale data models whether developed by internal organizations or external vendors become more prevalent.

Intel AMX, an  AI engine built into Intel Xeon Scalable processors, reduces the requirement for specialized hardware while speeding up inferencing and training. This results in exceptional cost savings. These integrated accelerators are located close to system memory in each CPU core. A faster time to value is made possible by the fact that Intel AMX is frequently easier to deploy than discrete accelerators.

Benefits for Businesses

U7i instances give enterprises a quick, easy, and adaptable approach to manage their mission-critical, large-scale workloads. Additional benefits include of:

Extremely Flexible: In data environments that are expanding quickly, organizations can readily scale throughput.

Superb Work: Compared to current U-1 instances, U7i instances have up to 135% greater compute performance and up to 45% better price performance.

Decreased Indirect Costs: With U7i instances, you can operate both business apps that rely on large in-memory databases and databases themselves in the same shared Amazon Virtual Private Cloud (VPC), which guarantees predictable performance while lowering the management burden associated with sophisticated networking.

Worldwide Accessibility: U7i instances come with operating system support for Ubuntu, Windows Server, Red Hat Enterprise Linux, SUSE Linux Enterprise Server, and Amazon Linux. They are accessible in the US East (North Virginia), US West (Oregon), and Asia Pacific (Seoul, Sydney) AWS Regions. Regularly, new regions are added.

Quick and Simple to Start: Buying U7i instances is simple, allowing you to start using them right away. In addition to shared dedicated instance and dedicated host tenancy, purchase choices include On-Demand, Savings Plan, and Reserved Instance form.

What is in memory database?

In contrast to conventional databases, which store data on disc, in-memory databases store data mostly in main memory (RAM). Because accessing data in RAM is far faster than accessing data on a disc, this makes in-memory databases substantially faster for data retrieval and modification.

The following are some salient features of in-memory databases:

Benefits of in memory database

Speed: In-memory databases’ main benefit is their speed. Read and write operations are substantially faster when data is stored in RAM as opposed to disk-based storage.

Volatility: Data is lost in the event of a system crash or power outage because RAM is volatile memory. Many in-memory databases offer data permanence features, including transaction logs and recurring disc snapshots, to help reduce this.

Use Cases: Applications that need to handle data quickly, such real-time analytics, caching, and session management, are best suited for in-memory databases.

Example of in memory database

Redis: Popular in-memory data structure storage for real-time analytics, message brokers, and caches.

Memcached: A fast distributed memory object caching solution that minimizes database demand to speed up dynamic web apps.

H2: A memory-efficient, lightweight Java SQL database for development, testing, and small apps.

The cutting-edge relational database management system SAP HANA is for analytics and real-time applications.

Performance: Because RAM is used, data access and processing are incredibly quick.

Scalability: Frequently made to expand horizontally, this feature enables load balancing and distributed computing.

Decreased delay: Perfect for applications that need data access with minimal delay.

Disadvantages of in memory database

Cost: Large-scale in-memory databases are expensive since RAM is more expensive than disc storage.

Data Persistence: Adding more methods and potential complexity is necessary to ensure that data is not lost in the event of a power outage.

Limited Capacity: The RAM that is available determines how much data can be kept.

Persistence Mechanisms

In-memory databases frequently employ a number of strategies to deal with the volatility issue:

Snapshots: Writing the complete database to disc on a regular basis.

Append-Only Files, or AOFs, record each modification performed to the database so that the information can be replayed and restored.

Hybrid storage refers to the combining of disk-based and in-memory storage to provide greater storage capacity and data longevity.

Utilization Examples

Real-time analytics: Quick data processing and analysis, crucial for e-commerce, telecom, and financial services.

Caching: Keeping frequently requested data in memory to lighten the burden on conventional databases.

Session management is the process of storing user session information for online apps so that the user experience is uninterrupted.

Gaming: Keeping up with the rapid updates and data changes that occur in online gaming environments.

In summary

Applications that demand real-time data access and processing can benefit greatly from the unmatched speed and performance that in-memory databases provide. They do, however, have limitations with regard to cost, capacity, and data persistence. These difficulties can be overcome by utilizing suitable persistence methods and hybrid storage options, which makes in-memory databases an effective tool for a range of high-performance applications.

Read more on govindhteh.com

[milkychivas-blog]

Steam Yaz İndirimleri Doğrultusunda Yüksek Bütçeli Listemiz

25.06.2020-09.07.2020 Tarihleri arasında başlayan Steam Yaz İndirimleri kampanyası kapsamında sizler için farklı farklı listeler hazırlamayı düşündüm ve ilk listemiz olan yüksek bütçe sizlerle :

Oyunlar :

FARCRY5 %75 indirimle 67,25₺

TROPICO 6 %40 indirimle 59,40₺

The Crew 2 %75 indirimle 56,25₺

Mount&Blade 2 %20 indirimle 119,99₺

Football Manager 2020 %50 indirimle 109,50₺

Uygulamalar:

Movavi Video Suite 2020 %40 indirimle 111,57₺

Movavi Photo Editor %70 indirimle 39,28₺

CPUCores Deluxe Edition %53 indirimle 23,37₺

Not: Yaz indirimleri esnasında 60₺ ve üstü ilk harcamanıza özel sepette 10₺ daha indirim yapılmaktadır. 

[nationin]

Marvell has announced the launch of the ThunderX3, its third generation Arm server processor. ---------------------------------------------------------------------------------- Like👍 ll comments📝 II Share📢 ➡️Keep Supporting🙏 ---------------------------------------------------------------------------------- . . ---------------------------------------------------------------------------------- Follow (@nationin) on Instagram for more stuff. ---------------------------------------------------------------------------------- . . _____________________________________________________ #digital #technologynews #technology #world #insta #instagood #learners #techno #instadaily #electricalengineering #engineering #daily #electronicslovers #homedecor #arduinolove #arduinofun #circuitdesign #electronics #processordesign #processors #generation #server #marvellegends #processorlife #processorientedart #processorkg #electronicsolvers #computerscience #cpucore https://www.instagram.com/p/B-T7JRTjlPS/?igshid=xor2kub7vyiw

[mindminetv]

What is "frames per second" and how does it impact your gaming? What can help increase your FPS? Find out in our latest breakdown and review of CPUCores: https://www.youtube.com/watch?v=g6dppZjRYZQ

[mega-steadycollectionpaper-blog]

Intel BX80684I58400 8th Gen Core i5-8400 Processor

buy now £299.99 Intel CPUCore i58400 280GHz LGA1151 Box BX80684I58400 Components Processors CPUIntel Virtualization Technology, Intel Turbo Boost Technology Speed Step Technology, Thermal Monitoring Technology, Hyper-Threading Technology 2.eight GHz processor velocity Thermal design energy: 65 W

https://www.computers.shopping4all.uk/intel-bx80684i58400-8th-gen-core-i5-8400-processor/

[zinntikumugai]

ホラゲできないくせにOutlast買った[Steam]

青鬼からOutlastまで、TVの番組とかマジ無理 なのになぜか見ちゃうも実際 不思議ですねぇ… ってことでセールで安かったので買っちゃいました (more…)

[promocoes-steam-blog]

Promoção na Steam do jogo CPUCores :: Maximize Your FPS

O jogo CPUCores :: Maximize Your FPS está com 51% de #desconto, saindo por apenas R$34,30! http://store.steampowered.com/app/384300/

[shojimeguro]

Best gaming assistants

CpuCores

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Free, better alternative of cpucores which also tweaking various system aspects that may be negatively impacting your gameplay.

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Has lot of useful tools such as…

[terryblount]

Release date and official PC system requirements announced for World War Z

Saber Interactive has announced the release date for World War Z. According to the press release, this new co-op zombie multiplayer game will release on April 16th. Furthermore, Saber Interactive has revealed the game’s PC requirements via its Epic store page.

According to the specs, PC gamers will at least need an Intel Core i5-750 or Core i3-530 or an AMD Phenom II X4-810 CPU with 8GB of RAM and an AMD R7 240 GB or an Nvidia GT 730 2GB or an Intel HD 530. Saber Interactive recommends an Intel Core i7-3970 with 16GB of RAM and an NVIDIA GeForce GTX 960 or an AMD Radeon R9 280 graphics card. The game will also require 20GB of free hard-disk space.

World War Z’s core four-player co-op will pit players against relentless swarms of AI zombies, and will come with a PvPvZ mode aiming to offer a completely unique experience, challenging players to outlive both the living and the dead across a variety of competitive modes designed for 4v4 combat.

World War Z will launch with the following multiplayer modes:

Scavenge Raid: players race to secure resources across the map to win

Vaccine Hunt: players must pick up and hold an object to earn point for the team.

Swarm Deathmatch: Two teams go head to head in a bitter fight to the end

Swarm Domination: Capture zones to earn points and win a team victory

King of the Hill: Capture a single hill, then control it to earn victory points

Powered by Saber’s dynamic Swarm Engine, World War Z promises to unleash hundreds of fast-moving, bloodthirsty zombies at a time on players in a nail-biting action experience around the world, including New York, Moscow, Jerusalem and more. Players will be able to game in co-op with up to 3 friends using six distinct classes and an arsenal of deadly weapons, explosives, turrets and traps to demolish the undead menace and survive another day.

Below you can find the game’s official PC requirements.

Minimum Requirements Recommended CPUCore i5-750 / Core i3-530 / AMD Phenom II X4-810 CPUIntel Core i7-3970 @ 3.50GHz RAM8 GB RAM16 GB OSWindows 7 and later OS64 bit Windows 10, DX11 Video CardAMD R7 240 GB / Nvidia GT 730 2GB / Intel HD 530 Video CardGeForce GTX 960 / Radeon R9 280 Storage20 GB Storage20 GB

Release date and official PC system requirements announced for World War Z published first on https://touchgen.tumblr.com/