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Changes recommended by Quarkslab (#111)
* Corrected bounds for some configuration parameters * Clarifications in the specification * Check validity of Argon2 parameters
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6 changed files with 30 additions and 21 deletions
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@ -329,7 +329,7 @@ Floating point registers `f0`-`f3` are the "additive" registers, which can be th
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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.
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`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.
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`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.
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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.
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@ -422,7 +422,7 @@ Bits 0-3 of quadword 12 are used to select 4 address registers for program execu
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#### 4.5.5 Dataset offset
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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.
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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.
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#### 4.5.6 Group E register masks
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@ -882,7 +882,7 @@ The Dataset is a read-only memory structure that is used during program executio
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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.
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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.
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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.
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*Figure 7.1 - Dataset construction*
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