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Changes recommended by Quarkslab (#111)

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* Corrected bounds for some configuration parameters
* Clarifications in the specification
* Check validity of Argon2 parameters
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tevador
2019-08-25 13:47:21 +02:00
committed by GitHub
parent 91f3edb5eb
commit 971f10c9c2
6 changed files with 30 additions and 21 deletions
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doc/specs.md
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@@ -329,7 +329,7 @@ Floating point registers `f0`-`f3` are the "additive" registers, which can be th
Floating point registers `e0`-`e3` are the "multiplicative" registers, which can be the destination of floating point multiplication, division and square root instructions. Their value is always positive.
`ma` and `mx` are the memory registers. Both are 32 bits wide. `ma` contains the memory address of the next Dataset read and `mx` contains the address of the next Dataset prefetch.
`ma` and `mx` are the memory registers. Both are 32 bits wide. `ma` contains the memory address of the next Dataset read and `mx` contains the address of the next Dataset prefetch. The values of `ma` and `mx` registers are always aligned to be a multiple of 64.
The 2-bit `fprc` register determines the rounding mode of all floating point operations according to Table 4.3.1. The four rounding modes are defined by the IEEE 754 standard.
@@ -422,7 +422,7 @@ Bits 0-3 of quadword 12 are used to select 4 address registers for program execu
#### 4.5.5 Dataset offset
The `datasetOffset` is calculated by bitwise AND of quadword 13 and the value `RANDOMX_DATASET_EXTRA_SIZE / 64`. The result is multiplied by `64`. This offset is used when reading values from the Dataset.
The `datasetOffset` is calculated as the remainder of dividing quadword 13 by `RANDOMX_DATASET_EXTRA_SIZE / 64 + 1`. The result is multiplied by `64`. This offset is used when reading values from the Dataset.
#### 4.5.6 Group E register masks
@@ -882,7 +882,7 @@ The Dataset is a read-only memory structure that is used during program executio
In order to allow PoW verification with a lower amount of memory, the Dataset is constructed in two steps using an intermediate structure called the "Cache", which can be used to calculate Dataset items on the fly.
The whole Dataset is constructed from the key value `K`, which is an input parameter of RandomX. The whole Dataset needs to be recalculated everytime the key value changes. Fig. 7.1 shows the process of Dataset construction.
The whole Dataset is constructed from the key value `K`, which is an input parameter of RandomX. The whole Dataset needs to be recalculated everytime the key value changes. Fig. 7.1 shows the process of Dataset construction. Note: the maximum supported length of `K` is 60 bytes. Using a longer key results in implementation-defined behavior.
*Figure 7.1 - Dataset construction*