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[ 00 ] a new runtime for the k family l. a new runtime for k and q l is a new runtime for k4, q, and qSQL code. It is a fast database and array language interpreter most commonly used on Wall Street. l has compressed vectors, SIMD, and automatic parallelism by default and runs existing k4/q/qSQL without modification.
k4 · q · qSQL transparent SIMD transparent compression auto-parallel l · repl modern HPC runtime 0.02 ms SIMD reduction · scalar syntax [ 01 ] what is l same language. new engine. The K and Q languages are array programming languages that offer an elegant syntax for high performance operations. In K/Q arrays are the unit of thought. l keeps those languages unchanged but adds transparent compressed vectors as the unit of execution: primitives run directly compressed structures so the full array is never rebuilt. Modern hardware starves for bandwidth long before it runs short of compute — so moving fewer bytes helps make L fast. [ 01A ] compatible k4, q, qSQL. unchanged. run the syntax, idioms, and K4/q code you already have. l provides full compatibilty for tables, dicts , partitions and splays out of the box. k4 syntax compatibility native q and qSQL support optimized columnar tables zero code rewrites [ 01B ] compressed compression native operations data stays compressed at rest, in memory, and in transit. primitives run directly on the compressed vectors, so less data moves. automatically compressed vectors computes directly on compressed data optimized cache capacity one format: on disk, in memory and IPC [ 01C ] transparent SIMD, threads, offload. the runtime picks the execution path—scalar, SIMD, threaded, or offloaded—with no annotations. you write sum x; l does the rest. NEON vectorization on Apple Silicon AVX-512 support on x86 GPU and NPU hardware offloading same code, multiple targets [ 02A ] in practice same code, faster. Fully qSQL compatible database including all joins and partition logic. Same legendary speed. qSQL over compressed columns single CPU · no decode pass 86.5M rows Read the essay [ 02B ] the same primitives, faster one line. every core. L implements automatic SIMD and threading for operations on vectors.
L intelligently threads when vector lengths demand it - small vectors are SIMD , large are SIMD+threaded. same primitive, wider plan SIMD reduction · thread fan-out · remote execution one expression Read the essay [ 03 ] anonymous mail group a plain-text list for people building with l. in the spirit of classic technical mailing lists: notes, benchmarks, design questions, release logs. no profiles, no directories. join with email only