Demo Data from EDBT 2026 / reviewers in the wild / expert
Fernando A. Escobar
dblp:137/7852
· DBLP profile ↗
2ranked-venue papers
2as first author
0since 2021 · last 2016
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 2 · 2 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Reconfigurable computing and FPGAs · 50% GPUs and heterogeneous computing · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Reconfigurable computing and FPGAs
FPGA accelerator |
0.2 | 1 | 2016 | Suitability Analysis of FPGAs for Heterogeneous Platforms in HPC · IEEE Trans. Parallel Distributed Syst. 2016 |
GPUs and heterogeneous computing › heterogeneous supercomputing
FPGA for HPC |
0.2 | 1 | 2016 | Suitability Analysis of FPGAs for Heterogeneous Platforms in HPC · IEEE Trans. Parallel Distributed Syst. 2016 |
Methods — techniques the papers use, named apart from their topics
survey · 0.2classification · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | Suitability Analysis of FPGAs for Heterogeneous Platforms in HPCabstractHigh performance computing (HPC) systems currently integrate several resources such as multi-cores (CPUs), graphic processing units (GPUs) and reconfigurable logic devices, like field programmable gate arrays (FPGAs). The role of the latter two has traditionally being confined to act as secondary accelerators rather than as main execution units. We perform a deep survey around state of the art research and implementation of HPC algorithms; we extract features relevant to each family and list them as key factors to obtain higher performance. Due to the broad spectra of the survey we only include the most complete references found. We provide a general classification of the 13 HPC families with respect to their needs and suitability for hardware implementation. In addition, we present an analysis based on current and future technology availability as well as in particular aspects identified in the survey. Finally we list general guidelines and opportunities to be accounted for in future heterogeneous designs that employ FPGAs for HPC. Fernando A. Escobar, Carlos Valderrama 0001 |
IEEE Trans. Parallel Distributed Syst. | 1 |
| 2014 | Hardware Managers with File System Support for Faster Dynamic Partial ReconfigurationabstractFPGA-based platforms allow implementing reconfigurable systems that can change functionality of portions of hardware at runtime. For this purpose, non-volatile, off-chip storage is required to hold the partial-configuration bitstreams that will be used for reconfiguration. Accessing such devices requires a high CPU usage or a dedicated hardware such as a Direct Memory Access (DMA) module, especially when reading from mass storage units using file systems. Relieving the processor from bitstreams acquisition and reconfiguration control promotes parallelism and better task scheduling. This paper presents a dedicated Intellectual Property (IP) block which efficiently retrieves bitstreams from a FAT16 formatted memory and independently performs partial reconfiguration at the highest possible speed. Three versions of the same module are proposed to enable the creation of systems capable of accessing the memory with different protocols and control units. The evaluation results show the advantages of our approach in terms of reconfiguration and reading speed, reduced area overhead, flexibility and ease of use. Fernando A. Escobar, Jimmy Tarrillo, Carlos Valderrama 0001 |
ISPA | 1 |