What is he best known for?
The fields of study he is best known for:
- Operating system
- Central processing unit
- Computer network
His main research concerns Embedded system, Interleaved memory, Uniform memory access, Operating system and Flat memory model.
His Embedded system research focuses on subjects like Cache, which are linked to Multi-core processor.
His work on Memory rank as part of his general Interleaved memory study is frequently connected to CAS latency, thereby bridging the divide between different branches of science.
His research investigates the connection with Uniform memory access and areas like Real-time computing which intersect with concerns in Parallel computing and Multicore systems.
His research in the fields of Scheduling, Coscheduling and Compiler overlaps with other disciplines such as Upper and lower bounds.
Rodolfo Pellizzoni interconnects Earliest deadline first scheduling, Distributed computing and Dynamic priority scheduling, Two-level scheduling in the investigation of issues within Flat memory model.
His most cited work include:
- A Predictable Execution Model for COTS-Based Embedded Systems (160 citations)
- MemGuard: Memory bandwidth reservation system for efficient performance isolation in multi-core platforms (147 citations)
- PALLOC: DRAM bank-aware memory allocator for performance isolation on multicore platforms (142 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Embedded system, Scheduling, Multi-core processor, Parallel computing and Distributed computing.
Rodolfo Pellizzoni has researched Embedded system in several fields, including Software, Latency, Mixed criticality and Cache.
His Scheduling study integrates concerns from other disciplines, such as Real-time computing and Legacy system.
His Multi-core processor research incorporates elements of Shared memory, Shared resource, Task, Single-core and Execution model.
His Shared memory research is multidisciplinary, incorporating perspectives in Non-uniform memory access, Flat memory model and Memory bandwidth.
His work on Multiprocessing as part of general Parallel computing research is frequently linked to Database transaction, Static analysis and Core, thereby connecting diverse disciplines of science.
He most often published in these fields:
- Embedded system (42.86%)
- Scheduling (26.79%)
- Multi-core processor (25.89%)
What were the highlights of his more recent work (between 2018-2021)?
- Embedded system (42.86%)
- Multi-core processor (25.89%)
- Parallel computing (22.32%)
In recent papers he was focusing on the following fields of study:
Rodolfo Pellizzoni mostly deals with Embedded system, Multi-core processor, Parallel computing, Scheduling and Predictability.
His research in Embedded system intersects with topics in Latency, Mixed criticality, Cache, Automotive systems and Exploit.
His studies deal with areas such as Intrusion detection system, Shared memory and Cache coloring as well as Multi-core processor.
The concepts of his Intrusion detection system study are interwoven with issues in Fault tolerance and Task.
Rodolfo Pellizzoni has included themes like Lookup table, Field-programmable gate array and Network packet in his Parallel computing study.
His work deals with themes such as Multiprocessing and Computation, which intersect with Scheduling.
Between 2018 and 2021, his most popular works were:
- Designing Mixed Criticality Applications on Modern Heterogeneous MPSoC Platforms (7 citations)
- A real-time scratchpad-centric OS with predictable inter/intra-core communication for multi-core embedded systems (4 citations)
- PREM-Based Optimal Task Segmentation Under Fixed Priority Scheduling (3 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Central processing unit
- Computer network
Rodolfo Pellizzoni mainly focuses on Embedded system, Parallel computing, Multi-core processor, Exploit and Automotive systems.
The various areas that he examines in his Embedded system study include Multiprocessing, Shared resource, Asynchronous communication, Cache coloring and Key.
His biological study spans a wide range of topics, including Scheduling, Computation, Intermediate language and Priority scheduling.
His Multi-core processor study incorporates themes from Scratchpad memory, Cache, MPSoC and Shared memory.
His Exploit study frequently involves adjacent topics like Information leakage.
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