DOAJ Open Access 2025

Pasithea-1: An Energy-Efficient Sequential Reconfigurable Array With CPU-Like Programmability

Tobias Kaiser Esther Gottschalk Kai Biethahn Friedel Gerfers

Abstrak

This work presents Pasithea-1, a coarse-grained reconfigurable array (CGRA) that combines energy efficiency with CPU-like programmability. Its extensible instruction set uses sequential control flow in code fragments of up to 64 RISC-like instructions, which encode control and dataflow graphs in adjacency lists. Combined with dedicated, uniform processing elements, this enables fast compilation from C source code (1.4 s mean compile time). Demonstrator measurements reveal energy efficiency of up to 601 int32 MIPS/mW at 0.59V and performance of up to 148 MIPS at 0.90 V. Compared to a RISC reference system, mean energy efficiency is improved by 2.24× with 1.71× higher execution times across 12 of 14 benchmarks. Program-dependent factors underlying variations in energy efficiency are identified using dynamic program analysis. To reduce operand transfer energy, seven interconnect topologies are evaluated: a flat bus, five crossbar variants and a logarithmic network. Best results are obtained for a crossbar topology, reducing mean dynamic tile energy by 19 %. Furthermore, floating-point (FP) support is added to the instruction set and evaluated using three binary-compatible microarchitectures, presenting distinct area-performance-energy tradeoffs. The interconnect and FP microarchitecture explorations demonstrate that, unlike CGRAs utilizing low-level bitstreams, Pasithea’s instruction set hides microarchitectural details, which makes it possible to optimize hardware without severing binary compatibility.

Penulis (4)

T

Tobias Kaiser

E

Esther Gottschalk

K

Kai Biethahn

F

Friedel Gerfers

Format Sitasi

Kaiser, T., Gottschalk, E., Biethahn, K., Gerfers, F. (2025). Pasithea-1: An Energy-Efficient Sequential Reconfigurable Array With CPU-Like Programmability. https://doi.org/10.1109/OJCAS.2024.3518110

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Informasi Jurnal
Tahun Terbit
2025
Sumber Database
DOAJ
DOI
10.1109/OJCAS.2024.3518110
Akses
Open Access ✓