Julia versus Lisp SBCL fastest programs Always look at the source code. These are only the fastest programs. Do some of them use manually vectorized SIMD? Look at the other programs. They may seem more-like a fair comparison to you. regex-redux source secs mem gz busy cpu load Julia 1.75 384,588 759 3.10 6% 67% 93% 12% Lisp SBCL 15.34 925,000 1972 31.90 42% 49% 63% 53% reverse-complement source secs mem gz busy cpu load Julia 1.50 671,028 522 1.77 7% 9% 96% 7% Lisp SBCL 6.40 1,490,256 904 6.42 0% 0% 0% 100% pidigits source secs mem gz busy cpu load Julia 1.00 168,088 506 1.31 11% 99% 11% 10% Lisp SBCL 3.34 607,800 493 3.38 0% 0% 100% 1% mandelbrot source secs mem gz busy cpu load Julia 1.38 235,276 621 4.78 83% 83% 83% 99% Lisp SBCL 4.09 46,684 2447 16.19 99% 99% 99% 99% fasta source secs mem gz busy cpu load Julia 1.72 354,912 1182 4.90 79% 75% 63% 69% Lisp SBCL 4.71 18,072 1757 4.75 0% 0% 0% 100% k-nucleotide source secs mem gz busy cpu load Julia 4.66 360,436 945 10.68 39% 52% 53% 85% Lisp SBCL 10.29 512,240 2479 37.48 88% 99% 88% 90% n-body source secs mem gz busy cpu load Julia 4.00 212,108 1112 4.30 99% 3% 3% 3% Lisp SBCL 7.83 17,892 1403 7.88 0% 0% 100% 0% fannkuch-redux source secs mem gz busy cpu load Julia 7.96 197,292 1067 30.06 94% 95% 94% 94% Lisp SBCL 9.63 32,388 1527 37.69 98% 95% 99% 99% spectral-norm source secs mem gz busy cpu load Julia 1.23 180,836 521 3.87 73% 71% 91% 80% Lisp SBCL 1.44 15,680 762 5.72 99% 99% 99% 99% binary-trees source secs mem gz busy cpu load Julia 9.67 604,312 372 29.97 75% 84% 72% 78% Lisp SBCL 2.84 529,972 932 7.09 73% 46% 63% 67% Julia julia version 1.5.0 Lisp SBCL SBCL 2.1.1 all Julia programs & measurements all Lisp SBCL programs & measurements