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results for go sparse

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This commit is contained in:
antonl 2026-03-15 13:10:47 +01:00
parent e7e9a7389c
commit ba5ec9e09e
3 changed files with 37 additions and 24 deletions
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42
goSparseResults.json
View File

@ -5,12 +5,12 @@
"cols": 147900,
"nnz": 3489300,
"matmul_runs": 16,
"matmul_total_ns": 1413419300,
"matmul_avg_ns": 88338706,
"matmul_total_ns": 1416892200,
"matmul_avg_ns": 88555762,
"matmul_output_nnz": 14335500,
"spmv_runs": 16,
"spmv_total_ns": 21010700,
"spmv_avg_ns": 1313168
"spmv_total_ns": 21017900,
"spmv_avg_ns": 1313618
},
{
"label": "ldoor",
@ -18,12 +18,12 @@
"cols": 952203,
"nnz": 23737339,
"matmul_runs": 16,
"matmul_total_ns": 6835373200,
"matmul_avg_ns": 427210825,
"matmul_total_ns": 6867829500,
"matmul_avg_ns": 429239343,
"matmul_output_nnz": 43783061,
"spmv_runs": 16,
"spmv_total_ns": 156246400,
"spmv_avg_ns": 9765400
"spmv_total_ns": 156089700,
"spmv_avg_ns": 9755606
},
{
"label": "Cube_Coup_dt0",
@ -31,24 +31,24 @@
"cols": 2164760,
"nnz": 64685452,
"matmul_runs": 16,
"matmul_total_ns": 32192429900,
"matmul_avg_ns": 2012026868,
"matmul_total_ns": 31149139200,
"matmul_avg_ns": 1946821200,
"matmul_output_nnz": 234465452,
"spmv_runs": 16,
"spmv_total_ns": 392950200,
"spmv_avg_ns": 24559387
"spmv_total_ns": 394415100,
"spmv_avg_ns": 24650943
},
{
"label": "nlpkkt240",
"rows": 27993600,
"cols": 27993600,
"nnz": 401232976,
"label": "nlpkkt200",
"rows": 16240000,
"cols": 16240000,
"nnz": 232232816,
"matmul_runs": 16,
"matmul_total_ns": 38319352500,
"matmul_avg_ns": 2394959531,
"matmul_output_nnz": 401232976,
"matmul_total_ns": 19196846100,
"matmul_avg_ns": 1199802881,
"matmul_output_nnz": 232232816,
"spmv_runs": 16,
"spmv_total_ns": 3164097400,
"spmv_avg_ns": 197756087
"spmv_total_ns": 1844563400,
"spmv_avg_ns": 115285212
}
]

13
src/main.go
View File

@ -6,6 +6,8 @@ import (
"fmt"
"os"
"path/filepath"
"runtime"
"runtime/debug"
"strconv"
"strings"
"time"
@ -236,6 +238,8 @@ func doTimings(path string) SparseMatrixTiming {
fmt.Printf("Avg SpMV time for %s: %.4f ms\n", bcase.Timing.Label, avgSpMVTimeMS)
}
bcase.Matrix = nil // Signal GC that we release this now
return bcase.Timing
}
@ -246,13 +250,18 @@ func main() {
"suitesparse_test_matrices/FEM_3D_thermal2.mtx",
"suitesparse_test_matrices/ldoor.mtx",
"suitesparse_test_matrices/Cube_Coup_dt0.mtx",
"suitesparse_test_matrices/nlpkkt240.mtx",
"suitesparse_test_matrices/nlpkkt200.mtx",
}
results := make([]SparseMatrixTiming, 0, len(paths))
for _, path := range paths {
results = append(results, doTimings(path))
timing := doTimings(path)
results = append(results, timing)
// Make sure to free previous matrices to be effective with RAM
runtime.GC()
debug.FreeOSMemory()
}
writeTimingJSON(results, "goSparseResults.json")

6
suitesparse_test_matrices/urls.txt
View File

@ -10,6 +10,10 @@ https://suitesparse-collection-website.herokuapp.com/MM/GHS_psdef/ldoor.tar.gz
# Almost 125M non-zero elements from a structural problem, 420mb compressed, 1.1GB uncompressed .mtx
https://suitesparse-collection-website.herokuapp.com/MM/Janna/Cube_Coup_dt0.tar.gz
# 440M NNZ, should fit in my 32GB ram. 667 mb compressed, 4.7gb uncompressed
# 760M NNZ, optimization problem 1.23GB compressed, 8.4 GB uncompressed
# This was too large for my 32 GB memory and I went into swap... probably should exclude
# This was too large for my 32 GB memory and I went into swap... probably should exclude because not fair timings... probably will spend majority of time in swap.
https://suitesparse-collection-website.herokuapp.com/MM/Schenk/nlpkkt240.tar.gz