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RandomWOW
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Minor fixes in readme

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tevador 2019-05-15 14:13:49 +02:00
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README.md
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@ -1,8 +1,5 @@
# RandomX # RandomX
RandomX is a proof-of-work (PoW) algorithm that is optimized for general-purpose CPUs. RandomX uses random code execution (hence the name) together with several memory-hard techniques to achieve the following goals: RandomX is a proof-of-work (PoW) algorithm that is optimized for general-purpose CPUs. RandomX uses random code execution (hence the name) together with several memory-hard techniques to minimize the efficiency advantage of specialized hardware.
* Prevent the development of a single-chip [ASIC](https://en.wikipedia.org/wiki/Application-specific_integrated_circuit)
* Minimize the efficiency advantage of specialized hardware compared to a general-purpose CPU
## Overview ## Overview
@ -23,7 +20,7 @@ Design notes available in [design.md](doc/design.md).
RandomX is written in C++11 and builds a static library with a C API provided by header file [randomx.h](src/randomx.h). Minimal API usage example is provided in [api-example1.c](src/tests/api-example1.c). The reference code includes a `benchmark` executable for testing. RandomX is written in C++11 and builds a static library with a C API provided by header file [randomx.h](src/randomx.h). Minimal API usage example is provided in [api-example1.c](src/tests/api-example1.c). The reference code includes a `benchmark` executable for testing.
### Ubuntu/Debian ### Linux
Build dependencies: `make` and `gcc` (minimum version 4.8, but version 7+ is recommended). Build dependencies: `make` and `gcc` (minimum version 4.8, but version 7+ is recommended).
@ -57,7 +54,7 @@ Preliminary performance of selected CPUs using the optimal number of threads (T)
|CPU|RAM|OS|AES|Fast mode|Light mode| |CPU|RAM|OS|AES|Fast mode|Light mode|
|---|---|--|---|---------|--------------| |---|---|--|---|---------|--------------|
AMD Ryzen 7 1700|16 GB DDR4|Ubuntu 16.04|hardware|4090 H/s (8T)|620 H/s (16T)| AMD Ryzen 7 1700|16 GB DDR4|Ubuntu 16.04|hardware|4100 H/s (8T)|620 H/s (16T)|
Intel Core i7-8550U|16 GB DDR4|Windows 10|hardware|1700 H/s (4T)|350 H/s (8T)| Intel Core i7-8550U|16 GB DDR4|Windows 10|hardware|1700 H/s (4T)|350 H/s (8T)|
Intel Core i3-3220|2 GB DDR3|Ubuntu 16.04|software|-|145 H/s (4T)| Intel Core i3-3220|2 GB DDR3|Ubuntu 16.04|software|-|145 H/s (4T)|
Raspberry Pi 3|1 GB DDR2|Ubuntu 16.04|software|-|2.0 H/s (4T) †| Raspberry Pi 3|1 GB DDR2|Ubuntu 16.04|software|-|2.0 H/s (4T) †|
@ -80,9 +77,9 @@ Efficient mining requires more than 2 GiB of memory, which is difficult to hide
RandomX uses only operations that are guaranteed to give correctly rounded results by the [IEEE 754](https://en.wikipedia.org/wiki/IEEE_754) standard: addition, subtraction, multiplication, division and square root. Special care is taken to avoid corner cases such as NaN values or denormals. RandomX uses only operations that are guaranteed to give correctly rounded results by the [IEEE 754](https://en.wikipedia.org/wiki/IEEE_754) standard: addition, subtraction, multiplication, division and square root. Special care is taken to avoid corner cases such as NaN values or denormals.
The reference implementation has been validated on the following platforms: The reference implementation has been validated on the following platforms:
* x86+SSE2 (32-bit, little-endian) * x86 (32-bit, little-endian)
* x86-64 (64-bit, little-endian) * x86-64 (64-bit, little-endian)
* ARMv7+NEON (32-bit, little-endian) * ARMv7+VFPv3 (32-bit, little-endian)
* ARMv8 (64-bit, little-endian) * ARMv8 (64-bit, little-endian)
* PPC64 (64-bit, big-endian) * PPC64 (64-bit, big-endian)