Demo Data from VLDB 2026 / reviewers in the wild / expert
Tom M. Bruintjes
dblp:66/10859
· DBLP profile ↗
3ranked-venue papers
1as first author
0since 2021 · last 2013
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 2 · 1 first-authorArtificial intelligence and machine learning · 1
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 |
Integrated circuit design · 87% Processor architecture and microarchitecture · 13% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Integrated circuit design
low-power circuit design |
0.1 | 1 | 2012 | Sabrewing: A lightweight architecture for combined floating-point and integer arithmetic · ACM Trans. Archit. Code Optim. 2012 |
Processor architecture and microarchitecture › special-purpose processor
digital signal processor |
0.0 | 1 | 2012 | Sabrewing: A lightweight architecture for combined floating-point and integer arithmetic · ACM Trans. Archit. Code Optim. 2012 |
Methods — techniques the papers use, named apart from their topics
VHDL · 0.1IEEE-754 compliance testing · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | Modular Neural Tile Architecture for Compact Embedded Hardware Spiking Neural Network
Sandeep Pande, Fearghal Morgan, Seamus Cawley, Tom M. Bruintjes, Gerard J. M. Smit, Brian McGinley, Snaider Carrillo, Jim Harkin, Liam McDaid |
Neural Process. Lett. | 4 |
| 2013 | Fixed latency on-chip interconnect for hardware spiking neural network architectures
Sandeep Pande, Fearghal Morgan, Gerard J. M. Smit, Tom M. Bruintjes, Jochem H. Rutgers, Brian McGinley, Seamus Cawley, Jim Harkin, Liam McDaid |
Parallel Comput. | 4 |
| 2012 | Sabrewing: A lightweight architecture for combined floating-point and integer arithmeticabstractIn spite of the fact that floating-point arithmetic is costly in terms of silicon area, the joint design of hardware for floating-point and integer arithmetic is seldom considered. While components like multipliers and adders can potentially be shared, floating-point and integer units in contemporary processors are practically disjoint. This work presents a new architecture which tightly integrates floating-point and integer arithmetic in a single datapath. It is mainly intended for use in low-power embedded digital signal processors and therefore the following design constraints were important: limited use of pipelining for the convenience of the compiler; maintaining compatibility with existing technology; minimal area and power consumption for applicability in embedded systems. The architecture is tailored to digital signal processing by combining floating-point fused multiply-add and integer multiply-accumulate . It could be deployed in a multi-core system-on-chip designed to support applications with and without dominance of floating-point calculations. The VHDL structural description of this architecture is available for download under BSD license. Besides being configurable at design time, it has been thoroughly checked for IEEE-754 compliance by means of a floating-point test suite originating from the IBM Research Labs. A proof-of-concept has also been implemented using STMicroelectronics 65nm technology. This prototype supports 32-bit signed two's complement integers and 41-bit (8-bit exponent and 32-bit significand) floating-point numbers. Our evaluations show that over 67% energy and 19% area can be saved compared to a reference design in which floating-point and integer arithmetic are implemented separately. The area overhead caused by combining floating-point and integer is less than 5%. Implemented in ST's general-purpose CMOS technology, the design can operate at a frequency of 1.35GHz, while 667MHz can be achieved in low-power CMOS. Considering that the entire datapath is partitioned in just three pipeline stages, and the fact that the design is intended for use in the low-power domain, these frequencies are adequate. They are in fact competitive with current technology low-power floating-point units. Post-layout estimates indicate that the required area of a low-power implementation can be as small as 0.04mm 2 . Power consumption is on the order of several milliwatts. Strengthened by the fact that clock gating could reduce power consumption even further, we think that a shared floating-point and integer architecture is a good choice for signal processing in low-power embedded systems. Tom M. Bruintjes, Karel H. G. Walters, Sabih H. Gerez, Egbert Molenkamp, Gerard J. M. Smit |
ACM Trans. Archit. Code Optim. | 1 |