Dota 2 1080p requirements traceability

Dota 2 Benchmarks

Auf vielfachen Wunsch haben wir Dota 2 zu unserem Benchmark-Parcours hinzugefügt. Der League of Legends Konkurrent kann bereits eine große Fan-Basis um sich scharen. Dieser Artikel widmet sich speziell dem Hardware-Hunger.

Wie wir testen

Dank der eingebauten Replay-Funktion (im Hauptmenü unter »Watch«) sind Geschwindigkeitsmessungen in Dota 2 besonders komfortabel. Nach einer kurzen Suche haben wir uns für das Finale der »International Dota 2 Championships« entschieden (Match ID 271145478, siehe Screenshot). Dieses wird per Zeitleiste zum Endkampf vorgespult. Mit dem Tool Fraps zeichnen wir ab 52:30 die Bildwiederholrate auf. Der Benchmark endet, wenn der Schriftzug »Dire Victory« erscheint (53:38). Die gesamte Sequenz dauert also knapp 70 Sekunden. Wegen der vielen Einheiten kann man von einer recht anspruchsvollen Passage sprechen.

Settings

Die Grafikoptionen lassen sich direkt im Spiel ändern. Das Menü »General« offenbart Regler für das Seitenverhältnis, die Auflösung, den Bildschirmmodus, die Helligkeit und die vertikale Synchronisation. Per »Advanced« können weitere Anpassungen vorgenommen werden. Abgesehen von der Render-Qualität (50-100 %) und den Schatten respektive Texturen (Low, Medium, High) warten bei allen Optionen nur »On«- bzw. »Off«-Schalter. Unsere Benchmark-Einstellungen sehen Sie auf den unteren Bildern.

Analyse der Benchmarks

Wie erwartet ist Dota 2 nicht sonderlich wählerisch, was die Grafikkarte angeht. So reicht für 1.366 x 768 Bildpunkte, mittlere Details und 75 % Render-Qualität bereits eine leistungsschwache Prozessor-GPU wie die Intel HD Graphics 3000 oder 4000. Für 1.920 x 1.080 Pixel und maximale Optionen sollte es zumindest ein Grafikbeschleuniger aus der oberen Mittelklasse (GeForce GT 750M) oder dem unteren High-End-Bereich (GeForce GTX 660M) sein.

Laut unseren Benchmarks schneidet AMD momentan besser als Nvidia ab. Trotz der schwächeren Gesamtleistung kann sich die Radeon HD 7970M im Ultra-Setting vor der GeForce GTX 780M und der GTX 680M positionieren. Beim Einsatz von niedrigen Auflösungen und Einstellungen limitiert häufig die CPU – egal, welche Grafikkarte im Notebook verbaut ist. Über 120 fps zeigt Dota 2 auch mit deaktiviertem VSync nicht an.

Hinweis an alle LoL-Fans: League of Legends werden wir voraussichtlich nicht testen, da – soweit wir das beurteilen können – keine komfortablen Benchmarks möglich sind (das externe Replay-Tool wirkt langsam und fehleranfällig).

# started gpulist at www. notebookcheck. com took 0s on source +0s . 0s

#1 initialized values +0.0007s . 0.0007s

#2 get uncached data as no gamecheck data found in cache for bench u >+0.0002s . 0.0009s

#3 loaded uncached gpu/cpu infos +1.7864s . 1.7873s

#4 loaded uncached benchmarks +14.397s . 16.1843s

#5 Interpolated values for background color of the gaming list. +0.0108s . 16.1951s

#6 added benchmark program data +0.001s . 16.1961s

#7 sorted values +0.0003s . 16.1964s

Here Are The Top 10 Strategic Technology Trends For 2020

W e are approaching the end of 2019 but the tech world is already buzzing with the anticipation of new technology trends that will arrive with the onset of 2020.

And just like every year, Gartner has released its list of ten strategic technology trends for 2020 and presented it during Gartner IT Symposium in Orlando.

According to Gartner, strategic technology trends can be defined as those with “substantial disruptive potential” that will soon be adopted broadly and have a significant impact, or rapidly grow into a “high degree of volatility reaching tipping points over the next five years.”

Top 10 strategic technology trends for 2020:

1. Hyperautomation

Hyperautomation is about integrating multiple machine learning models, automation, processes, and tools to deliver work. It is not just about using a variety of tools but also about all of the steps of automation itself. This trend emerged with robotic process automation (RPA), but RPA alone is not Hyperautomation.

2. Multiexperience

In the next few years, the user experience will undergo a major shift in how users perceive the digital world and interact with it. Multiexperience is about shifting to a more dynamic interface like AR, VR, and mixed reality.

3. Democratization of Expertise

This is about the latest technologies made available to end-users through organizations with the help of AI and ML. Gartner expects four key aspects of the democratization trend to emerge by 2023:

• democratization of data and analytics
• democratization of development
• democratization of design
• democratization of knowledge

4. Human Augmentation

Human augmentation is about taking advantage of technology to augment humans both physically and cognitively. For instance, in physical augmentation, we can change the capabilities of human bodies implanting a chip. Whereas cognitive augmentation means obtaining information and utilizing apps on conventional computer systems to provide multiexperience interface in smart spaces.

5. Transparency and Traceability

These two factors are gaining importance for organizations at a rapid speed as the society now demands to understand how their personal data is being used, managed and secured. So transparency and traceability extend to digital ethics, privacy needs, regulatory requirements, etc.

6. The Empowered Edge

The computing topology has changed in a way where information processing, content collection, and delivery is conducted closer to the sources, repositories, and consumers of the data. Dota 2 1080p requirements traceability This reduces latency and also allows some amount of autonomy on edge devices.

7. Distributed Cloud

With distributed cloud, the physical location where data centers are established becomes more important because it can address issues like regulation and latency.

8. Autonomous Things

It involves the increase in robots, drones, autonomous vehicles and how we look at them and their underlying technologies. As we gain technological advancements more autonomous things will be deployed in uncontrolled public spaces.

9. Practical Blockchain

The term practical blockchain has been coined because blockchain has been around for quite some time and it has seen a slow commercial deployment because of technical and management issues. So the future will be about taking a pragmatic look at understanding and making something useful out of blockchain.

10. AI Security

It’s about how security is integrated with AI and create opportunities to enable hyperautomation. It is also about solving new challenges for security teams and dealing with potential points of attack in IoT, cloud computing, etc.