Efficiency Problem: Parallelization and vectorization

### Is your feature request related to a problem or challenge?

I was doing a course project on efficiency comparison. And I try on TPC-H benchmark to compare the efficiency between datafusion and duckDB. The results indicated that There might be some efficiency issues. I also noticed that the effective CPU use time of datafusion is much higher than DuckDB, but the runtime on TPC-H is slower(seems like we did not really do parallism and I really think that's some problem comes from Tokio)
This is DuckDB's result
This is Datafusion's result

Also the flame graph shows that datafusion has a much deeper stack.
duckDB

datafusion

I kind of generated some distrust towards Tokio.

I doubt whether the slower performance is due to incomplete use of SIMD instruction so I did some statistics on SIMD instructions using PIN(may be the result is not that precise, but I expected the number of SIMD instruction generated should be comparable), the results shows below
| SIMD instruction | datafusion number | duckDB number |
| ---------------- | ----------------: | ------------: |
| ADDSD | 34| 25|
| CMPSD_XMM | 1| 6|
| COMISD | -| 44|
| DIVSD | 14| 32|
| MAXSD | 1| 1|
| MULSD | 21| 52|
| PACKUSWB | 5| 7|
| PADDB | 30| 12|
| PADDD | 100| 33|
| PADDQ | 291| 200|
| PADDW | 8| 5|
| PCMPEQB | 548| 544|
| PCMPEQD | 58| 38|
| PCMPGTB | -| 1|
| PCMPGTD | 44| 14|
| PCMPGTW | -| 6|
| PMINUB | 8| 20|
| PMOVMSKB | 1169| 278|
| PMULHUW | 1| 2|
| PMULLW | 1| 2|
| PMULUDQ | -| 4|
| PSHUFD | 646| 88|
| PSLLD | 6| 2|
| PSLLDQ | 72| 217|
| PSLLQ | 213| 16|
| PSLLW | 30| 2|
| PSRAD | 8| -|
| PSRLD | 3| 40|
| PSRLDQ | 39| 179|
| PSRLQ | 11| 7|
| PSUBB | 84| 243|
| PSUBD | 4| 3|
| PSUBQ | 12| 4|
| PSUBUSB | -| 6|
| PSUBW | -| 6|
| PUNPCKHBW | 41| 7|
| PUNPCKHDQ | 45| 66|
| PUNPCKHQDQ | 102| 14|
| PUNPCKHWD | 42| 50|
| PUNPCKLBW | 211| 19|
| PUNPCKLDQ | 94| 338|
| PUNPCKLQDQ | 353| 2713|
| PUNPCKLWD | 73| 80|
| ROUNDSD | 1| -|
| SHUFPD | 4| 20|
| SHUFPS | -| 28|
| SQRTSD | -| 2|
| SUBSD | 10| 19|
| UCOMISD | 16| 39|
| VPCMPB | 56| 86|
| VPCMPUB | 206| 19|
| VPMINUB | 2| 15|
| **Total** | 4851| 5293|

Turns out that datafusion may use less SIMD instructions than DuckDB (that might be the rustc problem)

### Describe the solution you'd like

I plan to do this week after next after. But got no clues yet

### Describe alternatives you've considered

_No response_

### Additional context

_No response_

Start by reproducing the reported TPC-H comparison and reviewing the supplied flame graphs, CPU-use observations, and SIMD-instruction measurements. Done should mean identifying a concrete parallelization, Tokio, or vectorization bottleneck and demonstrating an improvement with a repeatable benchmark.

Written by the indexing model from the issue text.