Coins: 1
Pools: 2
Miners: 87
Device | h/s |
---|---|
![]() | 11,900 |
![]() | 11,900 |
![]() | 11,900 |
![]() | 11,340 |
![]() | 11,130 |
![]() | 9,800 |
![]() | 9,100 |
![]() | 8,890 |
![]() | 8,750 |
![]() | 8,527 |
![]() | 8,000 |
Coins currently using RandomJDX algo
Coin | Hashrate Mh/s | Miners | Pools |
---|---|---|---|
![]() | 20.8 | 87 | 2 |
Coins previously used this algo
Coin | Fork date | Current algo |
---|
Short info about RandomJDX algo
RandomJDX is a proof-of-work (PoW) algorithm optimized for general purpose CPU chip mining. Because RandomJDX uses random code execution algorithm and some memory hardware technology, so it is named RandomJDX, mainly to maintain ASIC resistance while minimizing the efficiency advantage of GPU.
RandomJDX behaves like a keyed hash function: it accepts a key. Arbitrary input and produce 256 bit results. At the bottom level, RandomJDX uses a virtual machine to execute programs in a special instruction set consisting of integer operations, floating-point operations, and branching. These programs can be dynamically converted to native code for the CPU. An example of converting a RandomJDX program to an x86-64 assembly is program.asm... A portable interpretation mode is also provided.
There are two working modes of RandomJDX algorithm:
1. Fast mode: requires 2080MB of shared memory, suitable for mining
2.Lightweight mode: requires 256MB of shared memory, but runs slowly and is good for validation
Miners supporting RandomJDX algo
Miner | Supported OS |
---|
Latest News


