LaurieWired/tailslayerPublic

Library for reducing tail latency in RAM reads

AI summary: A C++ library reducing RAM read tail latency caused by DRAM refresh stalls.

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C++Apache-2.0Created Apr 5, 2026Last push 3mo ago+14 stars this week+22 this month

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since Apr 5, 2026
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2.8K stars as of Aug 7, 2026, tracked back to Apr 5, 2026. Historical curve reconstructed from public GitHub event archives, calibrated to the current total.

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13 commits in the last yearLessMore

Signals and awards

derived from tracked data
  • Permissive license

    Apache-2.0

What tailslayer does

Tailslayer is a specialized C++ library designed to mitigate tail latency in RAM reads that are caused by DRAM refresh stalls. It works by replicating data across multiple, independent DRAM channels that have uncorrelated refresh schedules. The library utilizes undocumented channel scrambling offsets to achieve this on AMD, Intel, and Graviton processors. When a read request occurs, Tailslayer issues hedged requests across these channels, ensuring that at least one read completes quickly even if another channel is stalled for a refresh.

Performance engineers, high-frequency traders, and systems developers needing deterministic, ultra-low latency memory access in C++.

  • DRAM refresh mitigation: Actively reduces tail latency caused by periodic DRAM refresh cycles.
  • Cross-channel replication: Replicates data across independent memory channels with varying refresh schedules.
  • Hardware scrambling: Utilizes undocumented channel scrambling offsets on major CPU architectures.
  • Hedged requests: Issues concurrent read requests across channels to bypass stalled memory banks.
  • Cross-platform support: Works across AMD, Intel, and AWS Graviton processor architectures.

Where teams use it

High-frequency trading

Ensuring microsecond-level latency consistency in financial trading applications by avoiding DRAM stalls.

Real-time systems

Guaranteeing deterministic read times for critical real-time operating systems.

Database optimization

Reducing worst-case query latency in in-memory databases.

Performance engineering

Optimizing memory-bound C++ applications running on modern multi-channel CPU architectures.

Getting started: git clone https://github.com/LaurieWired/tailslayer.git

README

main branch

License GitHub stars GitHub forks GitHub contributors Follow @lauriewired

tailslayer3

Tailslayer

Tailslayer is a C++ library that reduces tail latency in RAM reads caused by DRAM refresh stalls.

It replicates data across multiple, independent DRAM channels with uncorrelated refresh schedules, using (undocumented!) channel scrambling offsets that works on AMD, Intel, and Graviton. Once the request comes in, Tailslayer issues hedged reads across all replicas, allowing the work to be performed on whichever result responds first.

cross_platform_nway

Usage

The library code is available in hedged_reader.cpp and the example using the library can be found in tailslayer_example.cpp. To use it, copy include/tailslayer into your project and #include <tailslayer/hedged_reader.hpp>. The library currently works with two channels (updates to come!), but full N-way usage is available in the benchmark.

You provide the value type and two functions as template parameters:

  1. Signal function: Add the loop that waits for the external signal. This determines when to read. Return the desired index to read, and the read immediately fires.
  2. Final work function: This receives the value immediately after it is read. Add the desired value processing code here.
#include <tailslayer/hedged_reader.hpp>

[[gnu::always_inline]] inline std::size_t my_signal() {
    // Wait for your event, then return the index to read
    return index_to_read;
}

template <typename T>
[[gnu::always_inline]] inline void my_work(T val) {
    // Use the value
}

int main() {
    using T = uint8_t;
    tailslayer::pin_to_core(tailslayer::CORE_MAIN);

    tailslayer::HedgedReader<T, my_signal, my_work<T>> reader{};
    reader.insert(0x43);
    reader.insert(0x44);
    reader.start_workers();
}

Arguments can be passed to either function via ArgList:

tailslayer::HedgedReader<T, my_signal, my_work<T>,
    tailslayer::ArgList<1, 2>,   // args to signal function
    tailslayer::ArgList<2>       // args to final work function
> reader{};

You can also optionally pass in a different channel offset, channel bit, and number of replicas to the constructor. Note: Each insert copies the element N times where N is the number of replicas. It does the address calculation work on the backend, allowing tailslayer to act as a hedged vector that uses logical indices. Additionally, each replica is pinned to a separate core, and will spin on that core according to the signal function until the read happens.

Build the example

make
./tailslayer_example

Benchmarks and spike timing

The discovery/ directory contains supporting code used to characterize DRAM refresh behavior:

  • discovery/benchmark/: Channel-hedged read benchmark
  • discovery/trefi_probe.c: Spike timing probe for measuring the refresh cycle
cd discovery/benchmark
make
sudo chrt -f 99 ./hedged_read_cpp --all --channel-bit 8
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Apr 8, 2026daily#18+159
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