diff --git a/README.md b/README.md
index c30d7f84..1bc89756 100644
--- a/README.md
+++ b/README.md
@@ -1,12 +1,16 @@
-**SLOTHY** - **S**uper (**L**azy) **O**ptimization of **T**ricky **H**andwritten assembl**Y** - is an assembly-level superoptimizer
+
+
+**SLOTHY** - **S**uper (**L**azy) **O**ptimization of **T**ricky **H**andwritten assembl**Y** - is an assembly-level superoptimizer
for:
1. Instruction scheduling
2. Register allocation
3. Software pipelining (= periodic loop interleaving)
+
+
SLOTHY is generic in the target architecture and microarchitecture. This repository provides instantiations for the
the Cortex-M55 and Cortex-M85 CPUs implementing Armv8.1-M + Helium, and the Cortex-A55 and Cortex-A72
-CPUs implementing Armv8-A + Neon. There is an experimental model for Cortex-X/Neoverse-V cores.
+CPUs implementing Armv8-A + Neon. There is an experimental model for Cortex-X/Neoverse-V cores.
SLOTHY is discussed in [Fast and Clean: Auditable high-performance assembly via constraint solving](https://eprint.iacr.org/2022/1303).
@@ -16,10 +20,10 @@ SLOTHY enables a development workflow where developers write 'clean' assembly by
### How it works
-SLOTHY is essentially a constraint solver frontend: It converts the input source into a data flow graph and
+SLOTHY is essentially a constraint solver frontend: It converts the input source into a data flow graph and
builds a constraint model capturing valid instruction schedulings, register renamings, and periodic loop
-interleavings. The model is passed to an external constraint solver and, upon success,
-a satisfying assignment converted back into the final code. Currently, SLOTHY uses
+interleavings. The model is passed to an external constraint solver and, upon success,
+a satisfying assignment converted back into the final code. Currently, SLOTHY uses
[Google OR-Tools](https://developers.google.com/optimization) as its constraint solver backend.
### Performance
@@ -270,4 +274,4 @@ The [examples](examples/naive) directory contains numerous exemplary assembly sn
`python3 example.py --examples={YOUR_EXAMPLE}`. See `python3 examples.py --help` for the list of all available examples.
The use of SLOTHY from the command line is illustrated in [scripts/](scripts/) supporting the real-world optimizations
-for the NTT, FFT and X25519 discussed in [Fast and Clean: Auditable high-performance assembly via constraint solving](https://eprint.iacr.org/2022/1303).
\ No newline at end of file
+for the NTT, FFT and X25519 discussed in [Fast and Clean: Auditable high-performance assembly via constraint solving](https://eprint.iacr.org/2022/1303).