HARDWARE_VALIDATED · LIVE_MEASURED

Test ATOMiK against your benchmark.

For aggregation and reduction workloads, the bar you gate a contract on isn't “is it faster” — it's throughput at correctness: hitting your rate while the result stays exactly correct no matter the arrival order or how many cores feed it. A conventional system only guarantees that with a lock — which caps its throughput. ATOMiK doesn't need one, and we can prove it on silicon.

Your aggregation

Required throughput to commit

Unit

Result must be exactly correct regardless of arrival order / parallelism(why you'd otherwise need a lock)

SURPASSmeets the rate with 16.0x headroom AND a byte-identical, lock-free correctness guarantee

ThroughputPASS

50 M/s required → 800 M/s measured on silicon · 100 M/s/bank

16.0× headroom — needs 1 of 8 banks

Correctness under concurrencyPASS

byte-identical regardless of order → byte-identical across 1/2/4/8 banks (0x17e9fe29b5dc0aad)

'sum' (modular integer sum — counters, totals, moments) is abelian → provably order-independent, lock-free

Scope: throughput is the engine's measured accumulation rate (the aggregation step). End-to-end depends on your ingest path — but ATOMiK's order-independence is exactly what removes the global ordering / locks that cap a conventional aggregator. Measured 2026-06-21 on ALINX/HamGeek AX7020 (XC7Z020-2CLG484); reproduce with abench 65537 0xDEADBEEF0BADF00D.

Request a live on-silicon run + conditional LOI on this bar →

Carries this exact spec — sum at 50 M/s, reorder-stable — into the request, with the verdict re-computed from the measured engine on the next page.

What is hitting this bar worth? → quantify the coordination tax it removes

Recorded reference run

recorded reference · 2026-06-21

The verdict above isn't a projection — it's read off this measured ladder. abench 65537 0xDEADBEEF0BADF00D on the ALINX/HamGeek AX7020 (XC7Z020-2CLG484). Your workload gets its own dated run on request.

banks	hw cycles	speedup	throughput
1	65,537	1.00×	100 M/s
2	32,769	1.99×	200 M/s
4	16,385	3.99×	400 M/s
8	8,193	7.99×	800 M/s

Merged result 0x17e9fe29b5dc0aad — byte-identical across 1 / 2 / 4 / 8 banks. That invariance under re-partition is the order-independence proof; the speedups truncate (1.99/3.99/7.99) to show real per-run overhead.

How this is grounded. The verdict is computed from facts measured on an ALINX/HamGeek AX7020 (XC7Z020) at 100 MHz: the parallel-bank engine accumulates ~1 delta/bank/cycle (800 M/s at 8 banks), and its merged result is byte-identical across 1, 2, 4 and 8 banks — which proves the answer is independent of arrival order and parallelism. We only claim order-independence for aggregations that form an abelian group; for anything else this page returns an honest no.

And it's not only measured — it's proven. The abelian-group property this verdict depends on is formally verified in Lean 4 (108 theorems, zero sorry, depending only on Lean's standard axioms).

Browse worked workload scenarios to find yours, see the proof & benchmarks packet, or ask us to run your workload live on the board. If this is your workload, the design partner program runs it live behind a conditional LOI.