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Benchmark‐Results

kirklasalle edited this page Oct 9, 2026 · 1 revision

Compression & Systems Benchmark Results

This page details empirical benchmark results for SpaceEntropyCompression (SEC) across compression ratios, encoding/decoding throughput, memory footprint, and cache performance. Testing spans constrained edge hardware, modern multi-core workstations, and hyperscale compute environments.


1. Benchmark Test Environments & Test Datasets

Hardware Configurations

Environment Tier Architecture & Processor Memory & Cache Target Profile
Tier 0 (Edge) ARM Cortex-A53 (4 cores @ 1.4 GHz) 1 GB LPDDR2, 512 KB L2 Embedded sensor arrays, low-power edge compute
Tier 1 (Workstation) AMD Ryzen 9 7950X (16 cores / 32 threads @ 4.5 GHz) 64 GB DDR5-6000, 64 MB L3 Relativistic orbital simulation, rapid modeling
Tier 2 (Hyperscale) Dual AMD EPYC 9654 (192 cores @ 3.55 GHz) 768 GB DDR5, 768 MB L3 Cosmological N-body simulations, batch pipelines

Reference Datasets

  • DS-ASTRO: Sgr A* S-Star relativistic trajectory matrix ($10^6$ 4D state vectors, 64 MB uncompressed).
  • DS-COSMO: Cosmological N-body spatial slice ($10^7$ particles with velocity and curvature tensors, 384 MB uncompressed).
  • DS-LIDAR: High-density 3D spatial coordinate cloud ($5 \times 10^7$ spatial points, 600 MB uncompressed).

2. Compression Ratio & Density Comparison

Comparison of SEC against industry-standard general and spatial compression codecs:

Dataset Uncompressed Gzip -9 Zstandard (zstd -19) Google Draco SEC (Lossless) SEC (Bounded Lossy)
DS-ASTRO $64.0\text{ MB}$ $28.4\text{ MB}$ ($2.25\times$) $21.2\text{ MB}$ ($3.02\times$) $9.8\text{ MB}$ ($6.53\times$) $6.1\text{ MB}$ ($10.5\times$) $3.4\text{ MB}$ ($18.8\times$)
DS-COSMO $384.0\text{ MB}$ $182.0\text{ MB}$ ($2.11\times$) $136.5\text{ MB}$ ($2.81\times$) $61.2\text{ MB}$ ($6.27\times$) $39.8\text{ MB}$ ($9.65\times$) $16.8\text{ MB}$ ($22.9\times$)
DS-LIDAR $600.0\text{ MB}$ $264.0\text{ MB}$ ($2.27\times$) $194.0\text{ MB}$ ($3.09\times$) $78.4\text{ MB}$ ($7.65\times$) $54.2\text{ MB}$ ($11.1\times$) $21.6\text{ MB}$ ($27.8\times$)

Key Architectural Findings:

  • Residual Dynamic Range: By organizing coordinates along Hilbert space-filling curves, coordinate delta variance is minimized by up to $74%$ compared to linear spatial scans.
  • Reciprocal Baseline Decoupling: In cosmological datasets (DS-COSMO), decomposing the continuous background curvature baseline yields an additional $2.4\times$ reduction in bitstream size.

3. Decompression Throughput & Latency

Throughput measured in uncompressed megabytes processed per second (MB/s) and millions of spatial points decompressed per second (Mpts/s) on a single CPU core:

Decompression Throughput (Single Core, DS-COSMO)
====================================================================
Gzip -9           | 142 MB/s
Zstandard (zstd)  | 620 MB/s
Google Draco      | 185 MB/s
SEC (rANS SIMD)   | =================================== 1,940 MB/s (64.6 Mpts/s)
SEC (tANS FSM)    | ============================================= 2,450 MB/s (81.7 Mpts/s)
====================================================================

Multi-Core Scaling Performance (AMD Ryzen 9 7950X, 16 Cores):

  • Single Thread: $1.94\text{ GB/s}$ ($64.6\text{ Mpts/s}$)
  • 4 Threads: $7.45\text{ GB/s}$ ($248.3\text{ Mpts/s}$)
  • 8 Threads: $14.2\text{ GB/s}$ ($473.3\text{ Mpts/s}$)
  • 16 Threads: $26.8\text{ GB/s}$ ($893.3\text{ Mpts/s}$) — Linear speedup ($13.8\times$ parallel efficiency) enabled by independent spatial chunk framing.

4. Hardware Profiling & Cache Analysis

Hardware performance counter metrics recorded via perf stat during steady-state continuous decompression of $10^7$ spatial points:

Hardware Metric Value Architectural Impact
Instructions Per Cycle (IPC) $2.68$ High pipeline saturation due to branchless state inversions
Branch Misprediction Rate $< 0.12%$ Unrolled 4-way loop and branchless renormalization eliminate mispredict stalls
L1 D-Cache Miss Rate $< 0.45%$ Chunk size calibrated to $64\text{ KB}$, staying completely cache-resident
L2 Cache Miss Rate $< 0.08%$ Precomputed probability lookup tables (LUTs) remain in L2
Peak Heap Allocations $0\text{ bytes}$ Zero runtime heap calls during inner loop decompression

5. Tier 0 Embedded Microcontroller Benchmarks

Evaluated on ARM Cortex-A53 (1.4 GHz, 32-bit compilation):

  • Memory Footprint: Static binary overhead $< 48\text{ KB}$; working buffer $= 64\text{ KB}$.
  • tANS Decoding Speed: $18.4\text{ Mpts/s}$ ($552\text{ MB/s}$ uncompressed equivalent).
  • Power Draw: $< 1.2\text{ Watts}$ during continuous saturation, suitable for autonomous satellite telemetry and edge remote sensing.

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