- Research works
- 28 ▲ 3494% vs 2013–17
- Citations
- 314 11.4 per fractional work
- Top-10% rate
- 26.9% record average 16.5%
- Open access
- 29% world 28%
Not ranked overall: Cerebras Systems (United States) is under the volume floor below which an excellence rate is noise. Not ranked is not the same as ranked last.
Field profile
Location quotient across every field it publishes in: outside the ring is more than an institution of this size would be expected to publish, inside it is less.
Rings at 0.5×, 1× and 2×. Widest outward: Computer Science, 4.8×. Every wedge is a field page.
Which keywords describe research at Cerebras Systems (United States)?
By fractional works in all years, weighted toward what it does more of than the world: Parallel Computing, Deep Learning, Machine Learning, High-Performance Computing, GPU Computing, Performance Optimization, Neural Networks and Neuromorphic Computing.
- Placement
- Creative Economy
- ASIC
- Big Data
- Assembly Planning
- Ferroelectricity
- FPGA
- Performance Optimization
- High-Performance Computing
- Deep Learning
- Parallel Computing
- Machine Learning
- GPU Computing
- Neural Networks
- Neuromorphic Computing
- Hafnium Oxide
- Design for Manufacture
- Data Mining
- Brain-Computer Interfaces
- EEG Analysis
- Urban Development
Size is fractional works in all years in the topics tagged with each word; colour is the word's share of this institution's work against its share of the world's. The 21 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 21 words, with their numbers
- Parallel Computing4▲ 80×4 topics
- Deep Learning4▲ 6.5×16 topics
- Machine Learning4▲ 6.2×15 topics
- High-Performance Computing3▲ 65×2 topics
- GPU Computing2▲ 129×1 topic
- Performance Optimization2▲ 90×1 topic
- Neural Networks2▲ 6.6×9 topics
- FPGA2▲ 76×2 topics
- Neuromorphic Computing2▲ 88×2 topics
- Ferroelectricity1▲ 45×1 topic
- Hafnium Oxide1▲ 279×1 topic
- Assembly Planning1▲ 58×1 topic
- Design for Manufacture1▲ 58×1 topic
- Big Data1▲ 8.1×5 topics
- Data Mining1▲ 8.4×3 topics
- ASIC1▲ 192×1 topic
- Brain-Computer Interfaces1▲ 48×1 topic
- Creative Economy1▲ 100×1 topic
- EEG Analysis1▲ 48×1 topic
- Placement1▲ 192×1 topic
- Urban Development1▲ 11×1 topic
Which research topics does Cerebras Systems (United States) publish most on?
By volume in 2022–2025: Parallel Computing and Optimization Techniques, Cultural Industries and Urban Development, Ferroelectric and Negative Capacitance Devices and Embedded Systems Design Techniques.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Parallel Computing and Optimization Techniques Hardware and Architecture 1 works
- 2 Cultural Industries and Urban Development Urban Studies 1 works
- 3 Ferroelectric and Negative Capacitance Devices Electrical and Electronic Engineering 1 works
- 4 Embedded Systems Design Techniques Hardware and Architecture 1 works
- 5 Tensor decomposition and applications Computational Mathematics 1 works
- 6 Green IT and Sustainability Electrical and Electronic Engineering 0 works
- 7 Machine Learning in Materials Science Materials Chemistry 0 works
- 8 Seismic Imaging and Inversion Techniques Geophysics 0 works
- 9 Advancements in Semiconductor Devices and Circuit Design Electrical and Electronic Engineering 0 works
- 10 CCD and CMOS Imaging Sensors Electrical and Electronic Engineering 0 works
How open and international is its research?
Against the world’s own shares — the tick on each track. Both are shares of its output, so they sit on one scale and can be read against each other as well as against the world.
World: 28% of research is openly available.
World: 19% is written across borders.
How has Cerebras Systems (United States)'s research output changed?
Output in 2018–2022 was 3494% higher than in 2013–2017.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Other research institutions in Sunnyvale
Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners are in the interactive view on the map.