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Farid Chalabi

dblp:426/5461 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2026
0009-0000-9580-5247ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1 · 1 first-author · 1 since 2021

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
Processor architecture and microarchitecture · 91% Reconfigurable computing and FPGAs · 9%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Processor architecture and microarchitecture
instruction set architecture
1.012026
Gatling-V: An FPGA-based RISC-V Vector Core with Single-Issue, Multiple In-Flight Instruction Execution · FPGA 2026
Processor architecture and microarchitecture › instruction set architecture › vector extension
RISC-V vector extension
1.012026
Gatling-V: An FPGA-based RISC-V Vector Core with Single-Issue, Multiple In-Flight Instruction Execution · FPGA 2026
Processor architecture and microarchitecture
vector processing
1.012026
Gatling-V: An FPGA-based RISC-V Vector Core with Single-Issue, Multiple In-Flight Instruction Execution · FPGA 2026
Reconfigurable computing and FPGAs
FPGA-based processor implementation
0.312026
Gatling-V: An FPGA-based RISC-V Vector Core with Single-Issue, Multiple In-Flight Instruction Execution · FPGA 2026

Methods — techniques the papers use, named apart from their topics

vector chaining · 1.0multi-banked register file · 1.0
YearPublicationVenuePosition
2026 Gatling-V: An FPGA-based RISC-V Vector Core with Single-Issue, Multiple In-Flight Instruction Execution
abstract
This paper presents Gatling-V, an FPGA-optimized implementation of the RISC-V Vector extension that concurrently executes up to four vector instructions. The main innovation is using a multi-banked ASIC approach to build a vector register file from simple dual-port (1R1W) BRAMs rather than using traditional FPGA-based multi-port techniques. This saves both logic and BRAM, improves clock speed, and supports multiple overlapping in-flight instructions as well as vector chaining. However, it is limited to launching one vector instruction every two cycles. Using this technique, we build a RISC-V vector core that runs at 500MHz on AMD UltraScale+ HBM (16nm) with a 4R4W/8R8W register file and 2/4 fully parallel ALUs that use chaining (convoying) to reach peak utilization on sequentially dependent (independent) instructions with vectors longer than 36/72 (4/8) elements of 64b words, respectively. On microbenchmarks, the 4-ALU implementation is over 6 times faster than Saturn-V, an FPGA-optimized RISC-V vector engine, while consuming only twice as many LUTs but similar BRAMs and DSPs.
Farid Chalabi, Guy Lemieux
FPGA1