Eric O. Mejdrich

What is he best known for?

The fields of study he is best known for:

• Operating system
• Central processing unit
• Programming language

His primary areas of study are Computer hardware, Router, Embedded system, Computer graphics and Cache. His work carried out in the field of Computer hardware brings together such families of science as Field, Block, Word, Arithmetic and Dot product. Eric O. Mejdrich has included themes like Network interface, Network on a chip and Network interface controller in his Router study.

The concepts of his Network on a chip study are interwoven with issues in Memory address, Thread and Interconnection. The study incorporates disciplines such as Image processing, Color histogram, Computer vision and Artificial intelligence in addition to Computer graphics. He studied Cache and Shared memory that intersect with Interleaved memory and Computer architecture.

His most cited work include:

• Multiply-sum dot product instruction with mask and splat (128 citations)
• Ray Tracing Image Processing System (69 citations)
• Pixel color determination in a ray tracing image processing system (68 citations)

What are the main themes of his work throughout his whole career to date?

Eric O. Mejdrich mainly investigates Computer hardware, Image processing, Network on a chip, Computer network and Embedded system. His work deals with themes such as Execution unit and Control unit, which intersect with Computer hardware. Data structure is closely connected to Computer graphics in his research, which is encompassed under the umbrella topic of Image processing.

His research integrates issues of Network interface controller, Computer program, Node, Software and Network interface in his study of Network on a chip. His Network interface controller research is multidisciplinary, relying on both Controller and Router. His research in Computer network intersects with topics in Memory map, Shared memory and Memory controller.

He most often published in these fields:

• Computer hardware (34.11%)
• Image processing (20.16%)
• Network on a chip (18.60%)

What were the highlights of his more recent work (between 2009-2012)?

• Computer hardware (34.11%)
• Parallel computing (13.18%)
• Embedded system (17.83%)

In recent papers he was focusing on the following fields of study:

His main research concerns Computer hardware, Parallel computing, Embedded system, Network on a chip and Instruction register. His Computer hardware research is multidisciplinary, incorporating elements of Control unit, Hardware thread, Thread and Page address register. His Parallel computing research incorporates themes from Distributed computing, Physics engine, State, Pipeline and Raster graphics.

His Embedded system study integrates concerns from other disciplines, such as Execution unit, Processing core and Interface. The Network on a chip study combines topics in areas such as Network packet, Network interface controller, Block, Controller and Network interface. As a member of one scientific family, Eric O. Mejdrich mostly works in the field of Cache, focusing on SIGNAL and, on occasion, Computer network.

Between 2009 and 2012, his most popular works were:

• Multithreaded physics engine with predictive load balancing (67 citations)
• DMA-based acceleration of command push buffer between host and target devices (40 citations)
• Software Trace Collection and Analysis Utilizing Direct Interthread Communication On A Network On Chip (37 citations)

In his most recent research, the most cited papers focused on:

• Operating system
• Central processing unit
• Programming language

Distributed computing, Parallel computing, Physics engine, Computational science and Data structure are his primary areas of study. His Parallel computing research is multidisciplinary, incorporating perspectives in Workload, Load balancing and State. His study deals with a combination of Physics engine and Impulse.

The various areas that Eric O. Mejdrich examines in his Computational science study include Spatial data structure, Node and Image. His studies in Data structure integrate themes in fields like Ray tracing, Computer graphics, Computer vision, Artificial intelligence and Processing element.